feat(reranker): Add flashrank and contextual compression retriever #2480
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🤖 I have created a release *beep* *boop* --- ## 0.0.237 (2024-04-24) ## What's Changed * docs: Add environment variables, increase user usage, and add new models by @StanGirard in #2481 * fix(frontend): Warning for Quivr Assistants by @Zewed in #2479 * fix(frontend): better UI for Onboarding by @Zewed in #2477 * docs: add new configuration items by @StanGirard in #2483 * Revert "fix(frontend): better UI for Onboarding" by @StanGirard in #2485 * feat(reranker): Add flashrank and contextual compression retriever by @StanGirard in #2480 * feat(history): max tokens in the history provided by @StanGirard in #2487 * feat: Update chunk overlap to 200 by @StanGirard in #2488 * docs: Add reranking configuration guide by @StanGirard in #2489 * docs: Update telemetry configuration in Quivr by @StanGirard in #2490 **Full Changelog**: v0.0.236...v0.0.237 --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please).
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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.