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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Radar Score
Declining
Momentum

Scoring Breakdown

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Growth Metrics

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Language
Python

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Momentum is cooling relative to the rest of the index.

RAG ยท vector database
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