fastest_rag_stack
Jupyter Notebook
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updated 1y ago
A high-performance RAG application for chatting with documents, built on Llama 3.3 served through SambaNova's lightning-fast inference engine. It uses LlamaIndex for orchestration and Qdrant as the vector store, with a Streamlit front end for uploading documents and querying them.
No plain-English explanation yet — one is being written right now. Check back in a minute.