pavannagula/User-Centric-RAG-Using-Llamaindex-Multi-Agent-System-and-Qdrant
This project involves using llamaindex Multi Agents concierge system and Qdrant vector database to customize the RAG application with user preferences over LLMs, Embeddings, Search types, and Reranking Models.
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Language
Python