https://github.com/sixhs/rag_techniques
RAG_Techniques explores cutting-edge retrieval-augmented generation methods for enhanced AI performance. Join us in building a robust community around this innovative technology! 🛠️🌍
https://github.com/sixhs/rag_techniques
agents ai ai-agents chatbot-application chromadb cratedb data-engineering docker huggingface langchain-python litellm mlops openai python question-answering rag streamlit-application vllm
Last synced: 7 months ago
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RAG_Techniques explores cutting-edge retrieval-augmented generation methods for enhanced AI performance. Join us in building a robust community around this innovative technology! 🛠️🌍
- Host: GitHub
- URL: https://github.com/sixhs/rag_techniques
- Owner: SIXHS
- License: other
- Created: 2025-06-12T09:05:49.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-06-12T21:22:39.000Z (7 months ago)
- Last Synced: 2025-06-12T22:36:54.192Z (7 months ago)
- Topics: agents, ai, ai-agents, chatbot-application, chromadb, cratedb, data-engineering, docker, huggingface, langchain-python, litellm, mlops, openai, python, question-answering, rag, streamlit-application, vllm
- Language: Jupyter Notebook
- Size: 32.5 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE