Torrent details for "Borwankar N. Vector Databases. A Practical Introduction 2026" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
8.8 MB
Info Hash:
0C208277AFB66B15F41512431B2ED57974385B42
Added By:
Added:
April 16, 2026, 9:46 a.m.
Stats:
|
(Last updated: April 16, 2026, 9:46 a.m.)
| File | Size |
|---|---|
| ['Code.zip'] | 0 bytes |
| ['Borwankar N. Vector Databases. A Practical Introduction 2026.pdf'] | 0 bytes |
Name
DL
Uploader
Size
S/L
Added
NOTE
SOURCE: Borwankar N. Vector Databases. A Practical Introduction 2026
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format The AI revolution is here, and at its core lies a game-changing technology that most developers haven’t fully explored: vector databases. From powering semantic search to enabling large language models (LLMs) and generative AI, vector databases are reshaping how we build applications with unstructured data like text, images, and audio. But how do you go from curious to capable with this vital technology ? That’s where this book comes in. 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
×