Vector Search
5 pieces on Vector Search, including 4 step-by-step guides.
Guides
Run an LLM Locally to Interact with Your Documents: Complete Ollama & Open WebUI Guide
Build a completely offline, zero-leakage local document intelligence system using Ollama, Open WebUI, and nomic-embed-text with custom chunking and system prompt engineering.
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Graph RAG with Neo4j and OpenAI: Build a Product Search Pipeline
Combine Neo4j property graphs, GPT-4o entity extraction, and cosine similarity to build a multi-strategy product retrieval pipeline.
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Hybrid Search with RRF in Elasticsearch: A Complete Guide
Combine BM25 and kNN vector search using Reciprocal Rank Fusion in Elasticsearch to build a production-ready RAG retriever in Python.
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Build Persistent Agent Working Memory with MongoDB and Tavily
Store, retrieve, and grow agent memory across sessions using MongoDB Atlas Vector Search and Tavily hybrid RAG with save_foreign.
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