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Vector Database Management

Building Context-Aware AI Systems with Chroma, Pinecone, and FAISS

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Vector Database Management Cal Rowe
Koda Libristo: 50532923
Založba Independently published, september 2025
Are you ready to build AI systems that think smarter, scale faster, and deliver precise, context-awa... Celoten opis
? points 34 b
14.05
Na zalogi pri dobavitelju Odposlali bomo v 9-15 dneh

30 dni za vračilo blaga

Are you ready to build AI systems that think smarter, scale faster, and deliver precise, context-aware results? Vector Database Management: Building Context-Aware AI Systems with Chroma, Pinecone, and FAISS equips engineers and researchers with the tools to master vector databases, the backbone of modern AI applications. This authoritative guide illuminates the path to creating efficient, intelligent systems for neuromorphic computing, multi-agent orchestration, and knowledge engineering.
The book focuses on using vector databases like Chroma, Pinecone, and FAISS to store, retrieve, and manage high-dimensional embeddings, enabling applications like semantic search and retrieval-augmented generation (RAG). Through practical examples and rigorous insights, it bridges theory and implementation, showing how to design systems that balance performance, scalability, and security. Whether you're optimizing for energy-efficient hardware, coordinating collaborative agents, or constructing knowledge graphs, this book provides actionable strategies grounded in research.
Key chapters deliver deep, practical insights:
Vector Database Platforms: Compares Chroma, Pinecone, and FAISS, detailing their strengths for rapid prototyping, scalability, and high-performance search.
Implementing Vector Databases: Guides you through setup, data ingestion, and multi-modal embedding queries for real-world applications.
Retrieval-Augmented Generation (RAG): Explains how to ground LLMs with retrieved knowledge for factual accuracy.
Performance and Scalability: Offers benchmarks and optimization techniques like sharding and GPU acceleration.
Security, Privacy, and Governance: Addresses data privacy, encryption, and compliance with GDPR, CCPA, and HIPAA.
Production Deployment Best Practices: Covers managed cloud, self-hosted clusters, and CI/CD pipelines for robust deployment.
Readers gain a clear understanding of system design, orchestration, and trade-offs, empowering them to build AI solutions that are scalable, secure, and contextually intelligent.
Elevate your AI expertise and stay ahead in the fast-evolving field of vector database management. Grab your copy of Vector Database Management today and start building smarter, more efficient AI systems that transform neuromorphic computing, multi-agent workflows, and knowledge-driven applications.

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O knjigi

Polni naslov Vector Database Management
Avtor Cal Rowe
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2025
Število strani 126
EAN 9798264663956
Koda Libristo 50532923
Teža 234
Mere 178 x 254 x 7
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