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Beyond basic ReAct loops: six production-oriented architectures for building autonomous, reliable, and scalable LLM agents. The post Agentic Systems: A Practitioner's Guide to 6 Advanced Architectural Patterns appeared first on Towards Data Science.
How Pinecone indexes vectors: the algorithms it uses (Ananas, PQFS, and IVF), how it selects one per slab automatically by size, and why it has never used HNSW.
A knowledge engine is the data infrastructure category that lets agents query trusted, compiled knowledge instead of brute-forcing retrieval over raw data. How one is built, how agents query it, and how it compares to RAG, vector databases, and semantic layers.
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