OPENSEARCH 3.5: VECTOR Search, RAG PIPELINES, and AGENTIC AI APPLICATIONS: Build Semantic Connect MCP Agents, Optimize LLM Token Costs, Deploy Hybrid Search with Faiss Lucene

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Pages: 402, Paperback, Independently published

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Practical LLM Engineering with Python: Build AI Agents, RAG Pipelines, MCP Servers,...

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Vector Databases for AI Applications: Build Semantic Search, RAG Systems, and High...

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DSPy Agentic AI Engineering: Build Agents, RAG Pipelines, Tool-Calling Systems, and Production-Ready...

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DSPy Agentic AI Engineering: Build Agents, RAG Pipelines, Tool-Calling Systems, and Production-Ready...

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