Vector Databases: A Practical Introduction
In this hands-on guide, author Nitin Borwankar takes you through the "why, what, and how" of vector databases, starting with the basic theory behind vector embeddings and progressing to building applications with real-world tools. You'll learn about Word2vec, how to convert open source SQL databases like SQLite3 and PostgreSQL into vector databases, and integrate them into retrieval-augmented generation (RAG) applications. Whether you're a Python developer, data engineer, or ML practitioner, this book gives you the foundation to leverage vector databases confidently in your AI projects.
- Understand the connection between vector databases, embeddings, and LLMs
- Learn practical approaches for transforming SQL databases into vector databases
- Build RAG applications for both personal and enterprise use
- Apply vector databases to solve real-world AI challenges
- Learn how to use vector databases with LLMs to build applications
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362.82Lei
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Descrierea produsului
In this hands-on guide, author Nitin Borwankar takes you through the "why, what, and how" of vector databases, starting with the basic theory behind vector embeddings and progressing to building applications with real-world tools. You'll learn about Word2vec, how to convert open source SQL databases like SQLite3 and PostgreSQL into vector databases, and integrate them into retrieval-augmented generation (RAG) applications. Whether you're a Python developer, data engineer, or ML practitioner, this book gives you the foundation to leverage vector databases confidently in your AI projects.
- Understand the connection between vector databases, embeddings, and LLMs
- Learn practical approaches for transforming SQL databases into vector databases
- Build RAG applications for both personal and enterprise use
- Apply vector databases to solve real-world AI challenges
- Learn how to use vector databases with LLMs to build applications
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