Quivr
An opinionated RAG framework for integrating Generative AI into your applications, enabling easy customization and focus on product development with support for various LLMs and vector stores.
Quivr is built in Python, 37.5k GitHub stars from 100 contributors, latest release core-0.0.33.
When to use Quivr
Quivr is listed here as a AI project. The directory calls out Seamless GenAI integration, Support for multiple LLMs, Customizable RAG solutions as capabilities associated with it.
Other recorded traits for Quivr include Integration with any vector store, Focus on product development.
Besides AI, this page also files Quivr under Development, Tools.
Quivr compared with
Records in this directory name LangChain, Haystack as products people compare with Quivr. That list is editorial metadata, not a claim that Quivr replaces each of them.
What the Quivr stats reflect
GitHub currently shows 37.5k GitHub stars, about 100 contributors, 3.6k forks, 46 open issues, latest tracked release core-0.0.33. Star and activity counts here are a snapshot used as a proxy for community adoption, not a quality score.
Stats refreshed
- Language
- Python
- Latest Release
- core-0.0.33
- License
- Other
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Key features of Quivr
- Seamless GenAI integration
- Support for multiple LLMs
- Customizable RAG solutions
- Integration with any vector store
- Focus on product development
Quivr resources
Quivr on GitHub
Frequently asked questions
What is Quivr?
An opinionated RAG framework for integrating Generative AI into your applications, enabling easy customization and focus on product development with support for various LLMs and vector stores. This directory highlights Seamless GenAI integration, Support for multiple LLMs, Customizable RAG solutions.
What language is Quivr written in, and what is the latest release?
Quivr is written primarily in Python. The latest release tracked on this page is core-0.0.33.
How widely is Quivr used on GitHub?
Quivr has about 37.5k GitHub stars across about 100 contributors. It also has about 3.6k forks. Those counts are a snapshot of community attention, not a ranking of quality.
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