Udemy - Mastering Vector Databases and Embedding Models in 2025

Category: Other
Type: Tutorials
Language: English
Total Size: 790.7 MB
Uploaded By: freecoursewb
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Last checked: Jun. 19th '26
Date uploaded: Jun. 19th '26
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Mastering Vector Databases & Embedding Models in 2025

https://WebToolTip.com

Last updated 8/2025
Created by Tensor Teach
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 22 Lectures ( 1h 58m ) | Size: 790.8 MB

Learn embeddings, similarity search, HNSW, IVF, semantic search, RAG, and recommender systems with hands-on examples.

What you'll learn
⚡ Explain what embeddings are and how they enable similarity search.
⚡ Learn how to choose and fine-tune embedding models for custom applications.
⚡ Learn how vector databases work in terms of indexing & retrieval.
⚡ Familiarize yourself with the vector database landscape and different applications.

Requirements
❗ Basic Python knowledge recommended, but step-by-step coding lessons are provided.
❗ No prior experience with embeddings, vector databases, or similarity search is required.

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