# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
This pull request adds Llama Parse integration for complex document
parsing in Quivr. Llama Parse is a tool from Llama Index that allows you
to read complex documents in Quivr. It provides an API key that needs to
be added to the `.env` file as `LLAMA_CLOUD_API_KEY`. Once configured,
you can use the Llama Parse tool to read `pdf`, `docx`, and `doc` files
in Quivr.
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
This pull request adds caching for the Supabase client and database
instances in order to improve performance and reduce unnecessary API
calls. The `get_supabase_client()` and `get_supabase_db()` functions now
check if the instances have already been created and return the cached
instances if available. This avoids creating new instances for every
function call, resulting in faster execution times.
This pull request adds the pyinstrument package and updates the Makefile
and backend code. The pyinstrument package is used for profiling and the
Makefile and backend code have been modified to support profiling.
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
This pull request adds a ci-migration script that sets the project ID
from an environment variable and runs the supabase link and supabase db
push commands. This script will be used for continuous integration
purposes.
This pull request removes the citation metadata from the generate_answer
and generate_stream functions. The citation metadata was previously
being added to the streamed_chat_history and metadata dictionaries, but
it is no longer necessary. This change improves the efficiency and
clarity of the code.
This pull request updates the chunk size and overlap parameters in the
File class to improve performance. It also increases the top_n value in
the compressor for both the CohereRerank and FlashrankRerank models.
Additionally, it ensures that the page content is encoded in UTF-8
before processing.
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
This pull request updates the Dockerfile to include the installation of
the Supabase CLI. The Supabase CLI is required for interacting with the
Supabase backend. This update ensures that the Supabase CLI is installed
in the Docker image, allowing developers to easily use the Supabase CLI
within their Docker environment.
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
… to the DB API
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
This pull request updates the chunk overlap value in the File class from
300 to 200. This change reduces the overlap between chunks, improving
the performance of chunking operations.
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
This pull request adds the flashrank and contextual compression
retriever to the codebase. The flashrank reranker model is used for
compression, and the contextual compression retriever combines the base
compressor and base retriever to improve document retrieval.
This pull request updates the API documentation to include new sections
on configuring Quivr and contacting the Quivr team. It also removes the
"API Brains" section from the documentation.
This pull request fixes the issue of duplicate sources in the model
response and adds metadata to the response. It removes duplicate sources
with the same name and creates a list of unique sources. Additionally,
it includes the generated URLs and sources in the metadata of the model
response.
This pull request refactors the GPT4Brain and KnowledgeBrainQA classes
to add the functionality of saving non-streaming answers. It includes
changes to the `generate_answer` method and the addition of the
`save_non_streaming_answer` method. This enhancement improves the
overall functionality and performance of the code.
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
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----
| 🚀 This description was created by
[Ellipsis](https://www.ellipsis.dev) for commit
997576d577 |
|--------|
### Summary:
This PR involves a significant refactoring of the codebase, with file
and class relocations and renames, and updated import paths, without
introducing new functionality.
**Key points**:
- Significant refactoring of the codebase for improved organization and
clarity.
- File and class relocations and renames.
- Updated import paths to reflect new locations and names.
- No new functionality introduced.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
<!--
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----
| 🚀 This description was created by
[Ellipsis](https://www.ellipsis.dev) for commit
3e95f1a5aa |
|--------|
### Summary:
This PR introduces the 'Quivr Assistants' feature with new frontend
components and pages, backend routes and DTOs changes, and a minor
update in the `processAssistant` function.
**Key points**:
- Introduced the 'Quivr Assistants' feature with new frontend components
and pages, backend routes and DTOs changes.
- Added new `AssistantModal` component in
`/frontend/app/assistants/AssistantModal/AssistantModal.tsx`.
- Added new `InputsStep` and `OutputsStep` components for handling
assistant inputs and outputs.
- Added new `AssistantModal` page in
`/frontend/app/assistants/page.tsx`.
- Added new API endpoints and types for assistants in
`/frontend/lib/api/assistants/assistants.ts` and
`/frontend/lib/api/assistants/types.ts`.
- Updated backend assistant routes and DTOs in
`backend/modules/assistant/controller/assistant_routes.py`,
`backend/modules/assistant/dto/inputs.py`,
`backend/modules/assistant/ito/difference.py`, and
`backend/modules/assistant/ito/summary.py`.
- Made a minor update in the `processAssistant` function in the
`/frontend/lib/api/assistants/assistants.ts` file.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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This pull request includes a commit that improves the prompt used to get
more insights from the document. The commit modifies the map and reduce
templates to provide clearer instructions for analyzing each section of
the document and generating a consolidated summary. The changes also
include adjustments to the text splitter to improve the chunk overlap.
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| 🚀 This description was created by
[Ellipsis](https://www.ellipsis.dev) for commit
adf5541dab |
|--------|
### Summary:
This PR enhances the document analysis and summary generation
instructions in the `SummaryAssistant` class and improves text splitting
by adjusting the `chunk_overlap` parameter.
**Key points**:
- Updated `map_template` and `reduce_template` in `process_assistant`
method of `SummaryAssistant` class in
`/backend/modules/assistant/ito/summary.py`.
- Adjusted `chunk_overlap` parameter of `CharacterTextSplitter` instance
from 0 to 100.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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This pull request fixes an issue where the brain activation and value
handling were not working correctly. The `BrainInput` model now allows
for optional activation and value fields, and an empty string is
converted to `None` using a root validator. This ensures that brain
activation and value can be properly handled in the application.
<!--
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----
| 🚀 This description was created by
[Ellipsis](https://www.ellipsis.dev) for commit
d63ed6e651 |
|--------|
### Summary:
This PR modifies the `BrainInput` class in
`/backend/modules/assistant/dto/inputs.py` to make `activated` and
`value` fields optional and adds a root validator to convert empty
strings to `None`.
**Key points**:
- Modified `BrainInput` class in
`/backend/modules/assistant/dto/inputs.py`
- Made `activated` and `value` fields optional with default values
- Added root validator `empty_string_to_none` to convert empty strings
to `None`
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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This pull request refactors the DEFAULT_DOCUMENT_PROMPT in quivr_rag.py
to improve code readability and maintainability. The unnecessary file
name information has been removed from the prompt template as it is now
included in the vector embedding
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----
| <a href="https://ellipsis.dev" target="_blank"><img
src="https://avatars.githubusercontent.com/u/80834858?s=400&u=31e596315b0d8f7465b3ee670f25cea677299c96&v=4"
alt="Ellipsis" width="30px" height="30px"/></a> | 🚀 This PR
description was created by [Ellipsis](https://www.ellipsis.dev) for
commit 81939457e6. |
|--------|--------|
### Summary:
This PR refactors the `DEFAULT_DOCUMENT_PROMPT` in `quivr_rag.py` by
removing the file name information from the prompt template, enhancing
code readability and maintainability.
**Key points**:
- Refactored `DEFAULT_DOCUMENT_PROMPT` in `quivr_rag.py`.
- Removed file name information from the prompt template.
- File name information is now included in the vector embedding.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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This pull request fixes the file key validation in the `check_input`
method. Previously, the method only checked if a file was uploaded and
if the key of the file was "doc_to_summarize". However, it did not check
if the key of the file was the same as the name of the file. This PR
adds a check to ensure that the key of the file is the same as the name
of the file. This improves the accuracy of the file validation process.
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| <a href="https://ellipsis.dev" target="_blank"><img
src="https://avatars.githubusercontent.com/u/80834858?s=400&u=31e596315b0d8f7465b3ee670f25cea677299c96&v=4"
alt="Ellipsis" width="30px" height="30px"/></a> | 🚀 This PR
description was created by [Ellipsis](https://www.ellipsis.dev) for
commit 8f04d832ac. |
|--------|--------|
### Summary:
This PR enhances the file validation process in the `SummaryAssistant`
class by ensuring the key of the uploaded file matches its filename.
**Key points**:
- Added a new file key validation in `check_input` method of
`SummaryAssistant` class.
- The validation checks if the key of the uploaded file matches the
filename.
- This is an additional check to the existing file upload and key
validations.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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This pull request increases the token limit for the summary output to
2000 in order to accommodate larger documents.
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| <a href="https://ellipsis.dev" target="_blank"><img
src="https://avatars.githubusercontent.com/u/80834858?s=400&u=31e596315b0d8f7465b3ee670f25cea677299c96&v=4"
alt="Ellipsis" width="30px" height="30px"/></a> | 🚀 This PR
description was created by [Ellipsis](https://www.ellipsis.dev) for
commit 4412ecde83. |
|--------|--------|
### Summary:
This PR increases the token limit for the summary output to 2000 in the
`SummaryAssistant` class to accommodate larger documents.
**Key points**:
- Increased `max_tokens` parameter in `ChatLiteLLM` instance to 2000 in
`process_assistant` function of `SummaryAssistant` class in
`/backend/modules/assistant/ito/summary.py` file.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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This pull request refactors the get_brains_usages method in the
Analytics class. The changes include improving code readability,
optimizing database queries, and fixing potential bugs.
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----
| <a href="https://ellipsis.dev" target="_blank"><img
src="https://avatars.githubusercontent.com/u/80834858?s=400&u=31e596315b0d8f7465b3ee670f25cea677299c96&v=4"
alt="Ellipsis" width="30px" height="30px"/></a> | 🚀 This PR
description was created by [Ellipsis](https://www.ellipsis.dev) for
commit f0ad664673. |
|--------|--------|
### Summary:
This PR optimizes the `get_brains_usages` method in the `Analytics`
class by reducing database calls and improving code readability.
**Key points**:
- Refactored `get_brains_usages` method in `Analytics` class.
- Optimized database query to fetch chat history in one go.
- Improved code readability and formatting.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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This pull request adds PDF generation functionality and improves the
formatting of emails. It includes a new module for generating PDFs using
the fpdf2 library and updates the email templates to use markdown
formatting for better readability.
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----
| <a href="https://ellipsis.dev" target="_blank"><img
src="https://avatars.githubusercontent.com/u/80834858?s=400&u=31e596315b0d8f7465b3ee670f25cea677299c96&v=4"
alt="Ellipsis" width="30px" height="30px"/></a> | 🚀 This PR
description was created by [Ellipsis](https://www.ellipsis.dev) for
commit ccecff77a5. |
|--------|--------|
### Summary:
This PR introduces PDF generation functionality, improves email
formatting, sanitizes filenames, updates various files and dependencies,
and updates `docker-compose.dev.yml`.
**Key points**:
- Added PDF generation functionality using the `fpdf2` library
- Improved email formatting
- Sanitized filenames using the `unidecode` library
- Updated `backend/modules/assistant/ito/ito.py` to generate PDFs and
sanitize filenames
- Added `pdf_generator.py` in `backend/modules/assistant/ito/utils/` for
PDF generation
- Updated `Pipfile` and `Pipfile.lock` in
`backend/modules/assistant/ito/utils/` to include `unidecode`
- Updated `requirements.txt` with new dependencies
- Updated `docker-compose.dev.yml`
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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This pull request improves the prompt summary in the assistant code. It
updates the map_template and reduce_template to provide clearer
instructions for identifying main themes, key points, and important
information in each section of a document. The reduce_template also
specifies that the final summary should include the main themes, key
points, and important information of the entire document.
<!--
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----
| <a href="https://ellipsis.dev" target="_blank"><img
src="https://avatars.githubusercontent.com/u/80834858?s=400&u=31e596315b0d8f7465b3ee670f25cea677299c96&v=4"
alt="Ellipsis" width="30px" height="30px"/></a> | 🚀 This PR
description was created by [Ellipsis](https://www.ellipsis.dev) for
commit 456736a41d. |
|--------|--------|
### Summary:
This PR enhances the document summarization process in the
`SummaryAssistant` class by providing clearer instructions for
identifying main themes, key points, and important information in each
section of a document.
**Key points**:
- Updated `map_template` and `reduce_template` in `process_assistant`
function of `SummaryAssistant` class.
- Changes provide clearer instructions for summarizing documents.
- Final summary should include main themes, key points, and important
information of the entire document.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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This pull request adds functionality to update user usage and calculate
pricing in the ITO assistant. It includes a new method
`increase_usage_user()` that raises an error if the user has consumed
all of their credits, and a new method `calculate_pricing()` that
returns a fixed pricing value of 20.
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| <a href="https://ellipsis.dev" target="_blank"><img
src="https://avatars.githubusercontent.com/u/80834858?s=400&u=31e596315b0d8f7465b3ee670f25cea677299c96&v=4"
alt="Ellipsis" width="30px" height="30px"/></a> | 🚀 This PR
description was created by [Ellipsis](https://www.ellipsis.dev) for
commit ee5fdf70f6. |
|--------|--------|
### Summary:
This PR adds functionality to update user usage and calculate pricing in
the ITO assistant, with new methods in the `ITO` class and an update to
where the `increase_usage_user()` method is called.
**Key points**:
- Added `increase_usage_user()` and `calculate_pricing()` methods to
`ITO` class in `/backend/modules/assistant/ito/ito.py`
- `increase_usage_user()` updates user usage and raises an error if all
credits are consumed
- `calculate_pricing()` returns a fixed pricing value of 20
- `increase_usage_user()` is now called in the `ITO` class constructor
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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This pull request adds new input models for boolean, number, select
text, and select number. These models will allow for more flexible and
dynamic input options in the software. The changes include the addition
of the `InputBoolean`, `InputNumber`, `InputSelectText`, and
`InputSelectNumber` classes to the `Inputs` model. These classes provide
properties for key, required, description, and additional options
specific to each input type. This enhancement will improve the overall
functionality and user experience of the software.
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----
| <a href="https://ellipsis.dev" target="_blank"><img
src="https://avatars.githubusercontent.com/u/80834858?s=400&u=31e596315b0d8f7465b3ee670f25cea677299c96&v=4"
alt="Ellipsis" width="30px" height="30px"/></a> | 🚀 This PR
description was created by [Ellipsis](https://www.ellipsis.dev) for
commit 6fa583b6a8. |
|--------|--------|
### Summary:
This PR enhances the `Inputs` model by adding new input models for
boolean, number, select text, and select number, improving the
software's functionality and user experience.
**Key points**:
- Added `InputBoolean`, `InputNumber`, `InputSelectText`, and
`InputSelectNumber` classes to `Inputs` model in `inputs.py` and
`outputs.py`.
- Each new class provides properties for key, required, description, and
additional options specific to each input type.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
<!--
ELLIPSIS_HIDDEN
-->
----
| <a href="https://ellipsis.dev" target="_blank"><img
src="https://avatars.githubusercontent.com/u/80834858?s=400&u=31e596315b0d8f7465b3ee670f25cea677299c96&v=4"
alt="Ellipsis" width="30px" height="30px"/></a> | 🚀 This PR
description was created by [Ellipsis](https://www.ellipsis.dev) for
commit 5350e0a071. |
|--------|--------|
### Summary:
This PR adds a new script for evaluating the RAG model using the Ragas
library, with results saved as a JSON file and printed to the console.
**Key points**:
- New script `run_evaluation.py` added to
`backend/tests/ragas_evaluation/`.
- The script processes documents, generates replies using a QuivrRAG
chain, and evaluates the replies using specified metrics.
- Results are saved as a JSON file and printed to the console.
- The script can be run from the command line with various options.
----
Generated with ❤️ by [ellipsis.dev](https://www.ellipsis.dev)
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---------
Co-authored-by: Damien Mourot <damien.mourot@gmail.com>
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
This pull request adds an icon and description to the assistant. The
icon is displayed in the user interface and the description provides
additional information about the assistant.
This pull request adds a new optional field "tags" to the
AssistantOutput classes. The "tags" field allows for categorizing the
outputs and can be used for filtering or organizing purposes.
…dio_transcript and crawler assistants
# Description
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---------
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
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# Description
Added ability to upload .bib files to brain using langchain bibtex
document loader. Also changed frontend to allow the choosing of said
file.
Looking for guidance on how to run unit tests locally!
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This pull request adds a new field, `url_required`, to the
`IngestionEntity` class. This field is required for the ingestion
process and will be used to store the URL of the entity.
This pull request adds the ingestion module and routes to the project.
It includes the necessary files and code changes to implement the
ingestion functionality.
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# Description
TODO BEFORE RELEASE
- [ ] Onboarded true for all existing users
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---------
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
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Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
# Description
Optimize the docker image for cpu-only environment. (PyTorch in cpu
mode, cuda not installed etc) This should reduce the backend docker
image size by ~2
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This pull request adds optional fields to the UserIdentity and
UserUpdatableProperties classes in order to allow for more flexibility
when updating user properties. The new fields include username, company,
and onboarded. Additionally, the database schema has been updated to
reflect these changes.
# Description
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## Screenshots (if appropriate):
This pull request updates the langchain.prompts and
langchain_core.messages modules. It includes changes to the code that
improve functionality and fix any existing issues.
# Description
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## Screenshots (if appropriate):
This pull request includes a feature update to the newest version of
litellm. This update brings in the latest enhancements and bug fixes to
improve the functionality and performance of the software.
# Description
With this pull request, I add a fix that **enables Ollama**.
Running quivr in a Docker container, Ollama needs to be accessed via
http://host.docker.internal:11434.
This URL is defined as `api_base` of the `ChatLiteLLM` constructor. But
there are calls that are missing `api_base`. This leads to fallback URLs
being used. This is now fixed.
Fixes#2270#2267#2217#2204
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## Screenshots (if appropriate):
None
Co-authored-by: Niels Garve <niels.garve@experienceone.com>
This pull request updates the integration types and classes in the
codebase. It includes the following commits:
- Update logo_url field in brain entity and integration_brain entity
- Update integration references in BrainsUsers and IntegrationBrain
classes
- Revert "Update integration references in BrainsUsers and
IntegrationBrain classes"
- Revert "Update logo_url field in brain entity and integration_brain
entity"
- Add 'doc' integration type and KnowledgeBrainQA class
Please review and merge these changes.
This pull request adds a custom integration feature and sync
functionality to the application. It includes the following changes:
- Added a new integration entity for custom integrations.
- Implemented the ability to load and poll the custom integration.
- Added a task to sync the custom integration with the user's brain.
- Updated the celery beat schedule to include the new task.
Please review and merge this pull request.
This pull request updates the origins in cors.py, origin in
resend_invitation_email.py, and referring_site in
add-new-email/index.ts. It also refactors the code in home/page.tsx and
next.config.js.
This pull request removes the healthz endpoint from the Sentry
integration. The `before_send` function has been updated to drop
transaction events that contain 'healthz' in the transaction name. This
change ensures that healthz transactions are not sent to Sentry.
This pull request adds the `max_input` and `max_tokens` parameters to
the `KnowledgeBrainQA` constructor. These parameters allow for setting
the maximum input length and maximum number of tokens for the
KnowledgeBrainQA model. This provides more flexibility and control over
the input size and tokenization process.
This pull request reduces the sampling rate for Sentry traces to 0.1.
This change ensures that only a small percentage of traces are captured,
which helps to reduce the impact on performance and storage.
This pull request fixes the `get_brain_details` API by adding a
`user_id` parameter. Previously, the API did not include the `user_id`
parameter, which caused issues when retrieving brain details. This fix
ensures that the `user_id` is passed correctly to the API, allowing for
accurate retrieval of brain details.
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## Screenshots (if appropriate):
This pull request adds a new attribute, max_files, to the
MinimalUserBrainEntity class in the BrainsUsers repository. The
max_files attribute represents the maximum number of files allowed for a
brain integration.
This pull request adds Redis configuration to the `celery_config.py`
file. The `CELERY_BROKER_URL` has been replaced with `REDIS_HOST`,
`REDIS_PORT`, and `REDIS_PASS` environment variables to configure the
Redis broker and backend. This change allows for better integration with
Redis in the application.
# Description
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## Screenshots (if appropriate):
This pull request updates the brain authorization and integration
entities. It includes changes to the `retrieve_brain_by_id`,
`update_existing_brain`, `update_existing_brain_secrets`,
`CreateApiBrainDefinition`, `CreateIntegrationBrain`,
`BrainIntegrationSettings`, `BrainIntegrationUpdateSettings`,
`CreateBrainProperties`, and `BrainUpdatableProperties` classes.
This pull request adds a new method called `calculate_pricing` to the
`GPT4Brain` class in the codebase. This method calculates the pricing
for the GPT4Brain model. Additionally, the user usage in the chat
controller has been updated to include the new pricing calculation
method.
This pull request updates the system templates to include support for
custom personality. It adds a new parameter called "custom_personality"
to the generate_stream function, which allows users to provide a custom
personality for the AI assistant. This feature enhances the user
experience by allowing them to personalize the assistant's responses.
# Description
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Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
added ocr
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# Description
* This just corrects the word response in the function that reads chat
history.
* I have also noticed a little automatic change due to formatting. But
the update seems to be inline with the accepted formatting of this
project so I kept it.
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## Screenshots (if appropriate):
improve speed by using memoisation
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## Screenshots (if appropriate):
moved to brains
# Description
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## Screenshots (if appropriate):
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Co-authored-by: Antoine Dewez <44063631+Zewed@users.noreply.github.com>
now you can download & view pdf
# Description
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## Screenshots (if appropriate):
selection now fixed
# Description
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## Screenshots (if appropriate):
optimized number of calls
# Description
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## Screenshots (if appropriate):
backend test fixed
# Description
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## Screenshots (if appropriate):
fixed when brainful is empty
# Description
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## Screenshots (if appropriate):
added metadata object a bit bigger
# Description
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## Screenshots (if appropriate):
now updates
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## Screenshots (if appropriate):
adding metadata to api
# Description
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## Screenshots (if appropriate):
notification id issue when not in chat fixed
# Description
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## Screenshots (if appropriate):
error
# Description
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## Screenshots (if appropriate):
increased
# Description
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## Screenshots (if appropriate):
fixed where monthly was used in daily
# Description
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## Screenshots (if appropriate):
now monthly and better reading database
# Description
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## Screenshots (if appropriate):
moving from daily to monthly
# Description
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# Description
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## Screenshots (if appropriate):
update vectors at launch if missign
# Description
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## Screenshots (if appropriate):
fixed public brains avaiable
# Description
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## Screenshots (if appropriate):
# Description
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## Screenshots (if appropriate):
added preview env
# Description
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## Screenshots (if appropriate):
user settings to premium
# Description
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## Screenshots (if appropriate):
fixed when model is not choosen
# Description
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## Screenshots (if appropriate):
updated available models
# Description
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## Screenshots (if appropriate):
added check on customer if still valid
# Description
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## Screenshots (if appropriate):
# DONE
- generate_stream, generate and save answer in BE
# TODO
- Create an intermediary make_streaming_recursive_tool_calls async
function
- Save intermediary answers in new message logs column then fetch and
display in front
logic
# Description
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# Description
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## Screenshots (if appropriate):
to return a list of DocumentAnswer objects
# Description
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## Screenshots (if appropriate):
- Add `QAInterface` which should be implemented by all custom answer
generator to be compatible with Quivr
- Add `RAGInterface` which should be implemented by all RAG classes
# Description
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## Screenshots (if appropriate):
# Description
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## Screenshots (if appropriate):
# Description
There was a typo on one of the celery's config variables.
The `CELEBRY_BROKER_QUEUE_NAME` variable has been replaced by
`CELERY_BROKER_QUEUE_NAME`
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# Description
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## Screenshots (if appropriate):
now made easy
# Description
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# Description
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## Screenshots (if appropriate):
# Description
- Refactor knowledge to a module
- This PR breaks the Github Processor function -> need to comment brain
and file imports as it creates a circular dependency issue. Should be
fixed and reverted in next PR.
upgraded
# Description
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## Screenshots (if appropriate):
# Description
- Notification module
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## Screenshots (if appropriate):
fixed
# Description
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## Screenshots (if appropriate):
reduce sampling
# Description
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# Description
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## Screenshots (if appropriate):
# Description
```
======================================================================
backend-core | --- Logging error ---
backend-core | Traceback (most recent call last):
backend-core | File "/usr/local/lib/python3.11/logging/__init__.py", line 1110, in emit
backend-core | msg = self.format(record)
backend-core | ^^^^^^^^^^^^^^^^^^^
backend-core | File "/usr/local/lib/python3.11/logging/__init__.py", line 953, in format
backend-core | return fmt.format(record)
backend-core | ^^^^^^^^^^^^^^^^^^
backend-core | File "/usr/local/lib/python3.11/logging/__init__.py", line 687, in format
backend-core | record.message = record.getMessage()
backend-core | ^^^^^^^^^^^^^^^^^^^
backend-core | File "/usr/local/lib/python3.11/logging/__init__.py", line 377, in getMessage
backend-core | msg = msg % self.args
backend-core | ~~~~^~~~~~~~~~~
backend-core | TypeError: not all arguments converted during string formatting
backend-core | Call stack:
backend-core | File "<string>", line 1, in <module>
backend-core | File "/usr/local/lib/python3.11/multiprocessing/spawn.py", line 122, in spawn_main
backend-core | exitcode = _main(fd, parent_sentinel)
backend-core | File "/usr/local/lib/python3.11/multiprocessing/spawn.py", line 135, in _main
backend-core | return self._bootstrap(parent_sentinel)
backend-core | File "/usr/local/lib/python3.11/multiprocessing/process.py", line 314, in _bootstrap
backend-core | self.run()
backend-core | File "/usr/local/lib/python3.11/multiprocessing/process.py", line 108, in run
backend-core | self._target(*self._args, **self._kwargs)
backend-core | File "/usr/local/lib/python3.11/site-packages/uvicorn/_subprocess.py", line 76, in subprocess_started
backend-core | target(sockets=sockets)
backend-core | File "/usr/local/lib/python3.11/site-packages/uvicorn/server.py", line 61, in run
backend-core | return asyncio.run(self.serve(sockets=sockets))
backend-core | File "/usr/local/lib/python3.11/asyncio/runners.py", line 190, in run
backend-core | return runner.run(main)
backend-core | File "/usr/local/lib/python3.11/asyncio/runners.py", line 118, in run
backend-core | return self._loop.run_until_complete(task)
backend-core | File "/usr/local/lib/python3.11/asyncio/base_events.py", line 640, in run_until_complete
backend-core | self.run_forever()
backend-core | File "/usr/local/lib/python3.11/asyncio/base_events.py", line 607, in run_forever
backend-core | self._run_once()
backend-core | File "/usr/local/lib/python3.11/asyncio/base_events.py", line 1922, in _run_once
backend-core | handle._run()
backend-core | File "/usr/local/lib/python3.11/asyncio/events.py", line 80, in _run
backend-core | self._context.run(self._callback, *self._args)
backend-core | File "/usr/local/lib/python3.11/site-packages/uvicorn/protocols/http/h11_impl.py", line 428, in run_asgi
backend-core | result = await app( # type: ignore[func-returns-value]
backend-core | File "/usr/local/lib/python3.11/site-packages/uvicorn/middleware/proxy_headers.py", line 78, in __call__
backend-core | return await self.app(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/fastapi/applications.py", line 276, in __call__
backend-core | await super().__call__(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/applications.py", line 122, in __call__
backend-core | await self.middleware_stack(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/middleware/errors.py", line 162, in __call__
backend-core | await self.app(scope, receive, _send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/middleware/cors.py", line 91, in __call__
backend-core | await self.simple_response(scope, receive, send, request_headers=headers)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/middleware/cors.py", line 146, in simple_response
backend-core | await self.app(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/middleware/exceptions.py", line 68, in __call__
backend-core | await self.app(scope, receive, sender)
backend-core | File "/usr/local/lib/python3.11/site-packages/fastapi/middleware/asyncexitstack.py", line 18, in __call__
backend-core | await self.app(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 718, in __call__
backend-core | await route.handle(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 276, in handle
backend-core | await self.app(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 66, in app
backend-core | response = await func(request)
backend-core | File "/usr/local/lib/python3.11/site-packages/fastapi/routing.py", line 237, in app
backend-core | raw_response = await run_endpoint_function(
backend-core | File "/usr/local/lib/python3.11/site-packages/fastapi/routing.py", line 163, in run_endpoint_function
backend-core | return await dependant.call(**values)
backend-core | File "/code/routes/knowledge_routes.py", line 37, in list_knowledge_in_brain_endpoint
backend-core | logger.info("List of knowledge from knowledge table", knowledges)
backend-core | Message: 'List of knowledge from knowledge table'
backend-core | Arguments: ([Knowledge(id=UUID('b5ae6a25-1e8e-4fb5-a0c1-0039a8318ec3'), brain_id=UUID('7af64537-61cb-48e1-b3d1-c700d748b373'), file_name='Cradle to Cradle Criteria for the built environmen.pdf', url=None, extension='.pdf'), Knowledge(id=UUID('efb7ad5a-a13e-46f3-a580-4c574710ad15'), brain_id=UUID('7af64537-61cb-48e1-b3d1-c700d748b373'), file_name='GEG_2023_gebaeudeenergiegesetz_kompakt_und_praktisch.pdf', url=None, extension='.pdf'), Knowledge(id=UUID('9442f898-0fbe-46d2-b6ae-a726d62717bd'), brain_id=UUID('7af64537-61cb-48e1-b3d1-c700d748b373'), file_name='dgnb-kriterienkatalog-gebaeude-neubau-version-2023-auflage-2.pdf', url=None, extension='.pdf')],)
======================================================================
```
## Checklist before requesting a review
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# Description
Prompt module with Service
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## Screenshots (if appropriate):
To enable the ingestion of copy protected PDF via OCR instead of text
extraction
# Description
Copy protected PDF can't be properly imported via the standard langchain
loader.
See the following errors:
```
2023-11-15 14:16:31,927 [INFO] models.files: Computing documents from file Cradle to Cradle Criteria for the built environmen.pdf
[nltk_data] Downloading package punkt to
[nltk_data] /home/pascal_gula_luccid_ai/nltk_data...
[nltk_data] Unzipping tokenizers/punkt.zip.
[nltk_data] Downloading package averaged_perceptron_tagger to
[nltk_data] /home/pascal_gula_luccid_ai/nltk_data...
[nltk_data] Unzipping taggers/averaged_perceptron_tagger.zip.
Error processing file: detectron2 is not installed, pytesseract is not installed and the text of the PDF is not extractable. To process this file, install detectron2, install pytesseract, or remove copy protection from the PDF.
```
```
2023-11-15 15:04:14,624 [INFO] models.files: Computing documents from file Cradle to Cradle Criteria for the built environmen.pdf
Error processing file: Unable to get page count. Is poppler installed and in PATH?
```
```
023-11-15 15:59:11,886 [INFO] models.files: Computing documents from file Cradle to Cradle Criteria for the built environmen.pdf
Error processing file: tesseract is not installed or it's not in your PATH. See README file for more information.
```
## Checklist before requesting a review
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Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
increased default value to 1000
# Description
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## Screenshots (if appropriate):
truncating long response
# Description
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cleaning old code to introduce better patern
# Description
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added explore button and removed unused feature openai key
# Description
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reduced size by 2
# Description
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# Description
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fix/brain-management-shared-brain-access
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## Screenshots (if appropriate):
