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
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also include relevant motivation and context.
## Checklist before requesting a review
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## Screenshots (if appropriate):
# Description
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## Checklist before requesting a review
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my feature works
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## 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.
This pull request updates the links in the mint.json file to include a
link to the API documentation. The "Blog" link has been replaced with an
"API Docs" link that points to https://api.quivr.app/docs.
# Description
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also include relevant motivation and context.
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my feature works
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## Screenshots (if appropriate):
# Description
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## Screenshots (if appropriate):
… to the DB API
# Description
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also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
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## Screenshots (if appropriate):
Hello 👋 from Porter! Please merge this PR to finish setting up your
application.
Co-authored-by: porter-deployment-app[bot] <87230664+porter-deployment-app[bot]@users.noreply.github.com>
Hello 👋 from Porter! Please merge this PR to finish setting up your
application.
Co-authored-by: porter-deployment-app[bot] <87230664+porter-deployment-app[bot]@users.noreply.github.com>
This pull request updates the telemetry configuration in Quivr. The
guide now includes instructions on how to deactivate or configure the
telemetry service.
This pull request adds a new guide to the documentation that explains
how to configure reranking in Quivr. The guide covers the steps to
configure the reranking service using the FlashrankRerank library and
the Cohere ReRanker. It also provides information on the required
environment variables and the default behavior of the Ranker.
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
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also include relevant motivation and context.
## Checklist before requesting a review
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- [ ] My code follows the style guidelines of this project
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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.
# Description
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also include relevant motivation and context.
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my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
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also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
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- [ ] 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
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my feature works
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## Screenshots (if appropriate):
This pull request adds environment variables, increases user usage, and
adds new models to the Quivr application. It includes the following
commits:
- docs: Add environment variables, increase user usage, and add new
models
This pull request updates the documentation and images for the default
brain in Quivr. It includes instructions on how to get started,
customize the brain, and ask questions. Additionally, it adds
documentation for the GPT-4 brain and provides steps on how to interact
with it.
# 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 deployment instructions for Digital Ocean
in the Quivr repository. The instructions now include step-by-step
details on creating a Droplet, choosing the Docker image, updating the
.env file, installing Supabase, allowing the firewall, and launching the
project. The new instructions provide a more comprehensive guide for
deploying Quivr on Digital Ocean.
# Description
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also include relevant motivation and context.
## Checklist before requesting a review
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- [ ] 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
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- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
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- [ ] 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 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
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also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
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also include relevant motivation and context.
## Checklist before requesting a review
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- [x] My code follows the style guidelines of this project
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my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
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## Checklist before requesting a review
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my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
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also include relevant motivation and context.
## Checklist before requesting a review
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- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
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- [ ] 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
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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 CPU and memory settings in the task
definition files for the AWS service. The CPU has been increased from
1024 to 2048, and the memory has been increased from 2048 to 4096. This
change ensures that the service has enough resources to handle the
workload efficiently.
<!--
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----
| 🚀 This description was created by
[Ellipsis](https://www.ellipsis.dev) for commit
1bc415aa66 |
|--------|
### Summary:
This PR enhances the AWS service's resource allocation by doubling the
CPU and memory settings in the task definition files.
**Key points**:
- Updated CPU and memory settings in `/.aws/task_definition.json` and
`/.aws/task_definition_preview.json`.
- CPU value increased from 1024 to 2048.
- Memory value increased from 2048 to 4096.
----
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
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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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