▸ Tag · #pgvector
pgvector.
Postgres as a vector database — pgvector indexing, recall tuning, and running retrieval next to your relational data instead of beside it.
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AI7 mistakes wrecking your production RAG stack
Naive chunking, no reranker, embedding drift, latency blowups — the structural mistakes that wreck a production RAG stack, and the fixes that ship.
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AIAI coding is like an addiction (in the best way)
A level-by-level map of the AI coding workflow: gateway prompts, codebase RAG, then multi-agent orchestration over MCP — and why manual coding now drags.
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AIVector search vs graph search for RAG
Compare vector search and graph search for RAG. When to use embeddings via pgvector vs relationship-based knowledge graphs — and why GraphRAG often wins.
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AIContext window vs memory: building AI that remembers
Stop context-stuffing your LLM prompts. The difference between the context window and persistent memory — and how RAG + pgvector scale AI agents affordably.
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AIPicking the right RAG stack: vector databases for AI
pgvector, Pinecone, Weaviate, Qdrant — a 2026 field guide to picking the right vector store for your AI app, with hybrid search and scaling tips.
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