GitHub / 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! 🛠️🌍
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PURL: pkg:github/SIXHS/RAG_Techniques
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Forks: 0
Open issues: 0
License: other
Language: Jupyter Notebook
Size: 32.5 MB
Dependencies parsed at: Pending
Created at: about 1 month ago
Updated at: 20 days ago
Pushed at: 20 days ago
Last synced at: 20 days 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