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Opiniated RAG for integrating GenAI in your apps 🧠Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
Visit ↗This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Visit ↗| Fact | quivr | RAG_Techniques |
|---|---|---|
| GitHub stars | 39.4K | 28.9K |
| Forks | 3.7K | 3.5K |
| Open issues | 36 | 14 |
| Last commit | 1 years ago | yesterday |
| Primary language | Python | Jupyter Notebook |
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