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Agentic RAG: Build Smarter AI Systems with Retrieval-Augmented Agents Using LangChain, OpenAI, and Vector Databases
Paperback
Publisher: Independently Published
Published: Jul 4 2025
Pages: 516
Weight: 2.61
Height: 1.04 Width: 8.50 Depth: 11.00
Language: English
- In-depth setup and optimization for leading vector databases such as Pinecone, ChromaDB, and Weaviate.
- Robust approaches to deploying Agentic RAG in production, covering scalability, cost management, and observability.
- Critical guidance on security, data privacy, and ethical AI deployment, including preventing bias and ensuring human oversight.
- Forward-looking insights into multi-agent systems, self-improving agents, and advanced hybrid retrieval techniques. Build production-ready Agentic RAG systems that solve real business problems with unparalleled accuracy and efficiency.
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