· ai
Why Your AI Agents Need a Shell (And How to Give Them One Safely)
Claude Code — A New Take on Agent Architecture Claude Code changed how I think about agent architecture. It outperforms agents loaded up with 50 different MCP...
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- · ai
HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows
How approximate vector search silently degrades Recall—and what to do about It The post HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Gro...
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Implementing HNSW (Hierarchical Navigable Small World) Vector Search in PHP
Article URL: https://centamori.com/index.php?slug=hierarchical-navigable-small-world-hnsw-php&lang=en Comments URL: https://news.ycombinator.com/item?id=4645496...
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Keywords are not enough: Why Your Next.js App Needs Vector Search
BM25 Fundamentals and Limitations Semantic Search with ELSER Code Examples for Keyword and Semantic Search Hybrid Search Implementation Performance Considerati...
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Personal, Agentic Assistants: A Practical Blueprint for a Secure, Multi-User, Self-Hosted Chatbot
Build a self-hosted, end-to-end platform that gives each user a personal, agentic chatbot that can autonomously vector-search through files that the user explic...
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GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems
Smarter retrieval strategies that outperform dense graphs — with hybrid pipelines and lower cost The post GraphRAG in Practice: How to Build Cost-Efficient, Hig...
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Retrieval-Augmented Generation: Connecting LLMs to Your Data
'Tech Acronyms Reference | Acronym | Meaning | |
- · software
Under the Hood: Building a Hybrid Search Engine for AI Memory (Node.js + pgvector)
When building RAG (Retrieval-Augmented Generation) for AI agents, most developers stop at 'Cosine Similarity'. They verify that Vector A is close to Vector B, a...