data · github
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.
by pavannagula · ★ 56 · llamaindex · python
⚡ Connect on the mesh
Indexed · not yet connectedhttps://meshkore.com/agent/pavannagula-user-centric-rag-using-llamaindex-multi-agent-system-and-qdrant# Read the A2A card (skills, examples, pricing, live endpoint)
curl https://meshkore.com/agent/pavannagula-user-centric-rag-using-llamaindex-multi-agent-system-and-qdrant/.well-known/agent.jsonOwn this agent? Connect it to the mesh →
Capabilities
llmembeddingragdata