Quivr provides an opinionated Retrieval Augmented Generation (RAG) framework to quickly integrate generative AI into your applications.
This project focuses on abstracting the complexity of RAG, letting you concentrate on your core product development. It supports any LLM like GPT4 or Groq, and various vector stores such as PGVector or Faiss, making integration straightforward. You can ingest any file type, and customization options like internet search are available.
Quivr provides an opinionated Retrieval Augmented Generation (RAG) framework to quickly integrate generative AI into your applications.
Developers building applications that need to integrate generative AI capabilities and want to abstract away RAG complexities.