A production-ready Hybrid RAG system with ChromaDB, BM25, Multi-Query Retrieval, MMR, CrossEncoder reranking, and Ollama-powered LLM responses.
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Updated
Sep 14, 2026 - Python
A production-ready Hybrid RAG system with ChromaDB, BM25, Multi-Query Retrieval, MMR, CrossEncoder reranking, and Ollama-powered LLM responses.
Vector RAG chatbot for YouTube videos using LlamaIndex. Fetches the transcript with a self-written loader, embeds it with Gemini into ChromaDB Cloud, reranks with a cross-encoder, and answers from the video in a CLI chat with PostgreSQL memory. Includes Phoenix tracing, token counting, and cost tracking. Vector baseline of a RAG series.
Where does Graph RAG beat Vector RAG? A stratified evaluation on financial contract Q&A (MSc dissertation, DBS)
Vector RAG vs. Vectorless RAG vs. OKF
The structural memory integrity layer for AI agents. Built with Cognee 1.0. Coherence extends the memify() pipeline to detect, flag, and surgically prune temporal supersessions and semantic contradictions from agent memory networks. This ensures agents never believe two conflicting things at once.
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