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Udemy - Vector Databases for Developers - ChromaDB, Pinecone and RAG [TorrentX]
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Udemy - Vector Databases for Developers - ChromaDB, Pinecone and RAG [TorrentX]

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Vector Databases for Developers: ChromaDB, Pinecone & RAG https://WebToolTip.com Published 8/2026 Created by Sudip Bhattacharyya MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 18 Lectures ( 9h 54m ) | Size: 3.6 GB Learn Embeddings, Semantic Search, ChromaDB, Pinecone, LangChain & build production-ready RAG applications with Python. What you'll learn ⚡ Build AI-powered Semantic Search applications using Python, OpenAI Embeddings, ChromaDB, and Pinecone. ⚡ Understand Embeddings, Vector Databases, Cosine Similarity, Chunking, and Semantic Search from scratch. ⚡ Build production-ready Retrieval-Augmented Generation (RAG) applications using LangChain and modern AI workflows. ⚡ Create an AI-powered Semantic PDF Search Engine that searches documents using natural language. ⚡ Develop a complete RAG Chatbot with conversation history, source citations, and intelligent document retrieval. ⚡ Learn how to migrate from ChromaDB to Pinecone for scalable cloud-based vector search applications. ⚡ Optimize vector search systems using better chunking strategies, metadata filtering, Top-K retrieval, and hybrid search concepts. ⚡ Apply production best practices for building scalable AI applications with Vector Databases and Retrieval-Augmented Generation (RAG). Requirements ❗ Basic Python programming knowledge. ❗ A Windows, macOS, or Linux computer. ❗ Visual Studio Code installed. ❗ An internet connection. ❗ An OpenAI API key (created during the course). ❗ No prior knowledge of AI, Vector Databases, Pinecone, ChromaDB, or LangChain is required. ❗ A willingness to learn by building real-world projects.

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