Vector Database Management: Building Context-Aware AI Systems with Chroma, Pinecone, and FAISS

By Cal Rowe

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.

• Format: Paperback
• Language: English
• ISBN: B0FQJV2J4Y
• ISBN13: 9798264663956
• Release Date: September 2025
• Publisher: Independently Published
• Length: 126 Pages
• Weight: 0.51 lbs.
• Dimensions: 0.3" x 7.0" x 10.0"