Name: Vector Databases and RAG with Python. Build intelligent search and retrieval systems using embeddings and LLMs
SKU: 68486525
Price: 1475.00 TWD
Availability: InStock
Author: Rajdeep Dua

portada Vector Databases and RAG with Python. Build intelligent search and retrieval systems using embeddings and LLMs

Vector Databases and RAG with Python. Build intelligent search and retrieval systems using embeddings and LLMs

Type

Physical Book

Publisher

BPB Publications

Author

Rajdeep Dua

Year

2026

Language

English

Pages

334

Format

Paperback

Dimensions

23.5x19.1 cm

ISBN13

9789378545689

Vector Databases and RAG with Python. Build intelligent search and retrieval systems using embeddings and LLMs

Rajdeep Dua (Author) · BPB Publications · Paperback

New Book Imported to Taiwan

Delivery: 11 Sep - 21 Sep

NT$ 1,475

NT$ 1,475

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Synopsis "Vector Databases and RAG with Python. Build intelligent search and retrieval systems using embeddings and LLMs"

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.

As large language models continue to transform how we build intelligent systems, the ability to integrate proprietary data through vector search and RAG has become essential for creating accurate, contextually-aware applications that go beyond the limitations of pre-trained models.

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Vector Databases and RAG with Python. Build intelligent search and retrieval systems using embeddings and LLMs - Rajdeep Dua

Synopsis "Vector Databases and RAG with Python. Build intelligent search and retrieval systems using embeddings and LLMs"

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