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
Jul 8, 2026 - Python
A production-ready Hybrid RAG system with ChromaDB, BM25, Multi-Query Retrieval, MMR, CrossEncoder reranking, and Ollama-powered LLM responses.
Literature monitor — ranks new papers by similarity to your Zotero library and generates structured Obsidian notes via LLM extraction.
Enterprise-grade Vector RAG platform engineered for semantic knowledge retrieval, AI-powered document intelligence, vector search infrastructure, and contextual conversational AI workflows.
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.
Graph-based multi-hop document retrieval via citation network search — a lightweight alternative between Vector RAG and GraphRAG, evaluated on OGBN-Arxiv with 12 seeding strategies and 6 traversal algorithms.
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