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.
Hello 👋 from Porter! Please merge this PR to finish setting up your
application.
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# 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):
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
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# 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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# Description
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## Screenshots (if appropriate):
… to the DB API
# Description
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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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## 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):
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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# Description
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## 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 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
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## 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):
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 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
- [ ] 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.
