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Vector Databases and RAG with Python
Paperback
€43.49
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- Book Synopsis
- This comprehensive guide takes you from foundational concepts to production-ready implementations of vector databases and RAG systems. Starting with vector semantics and embeddings, you will learn to generate vector representations using neural networks, BERT, and OpenAI models. The book covers popular vector databases including Weaviate and Milvus, teaching you how to implement efficient search algorithms like k-nearest neighbors and hierarchical navigable small worlds. You will build complete RAG pipelines, explore advanced techniques like GraphRAG, and master evaluation frameworks using LlamaIndex. Each chapter includes hands-on Python examples with practical code implementations that demonstrate real-world applications.
- About The Author
- Rajdeep Dua is a seasoned engineering leader with over 25 years of experience spanning software development at the intersection of enterprise systems, artificial intelligence, and cloud computing.
- Product Details
-
- ISBN
- 9789378545689
- Format
- Paperback
- Publisher
- BPB Publications, (06 July 2026)
- Number of Pages
- 334
- Language
- English
- Dimensions
- 235 x 191 mm
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