Udemy - Master Vector Databases

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Udemy - Master Vector DatabasesUdemy - Master Vector Databases

NAME
Udemy - Master Vector Databases.torrent
CATEGORY
Other
INFOHASH
5dfbee5b0f6e6d0935c1809b60cbd29868f90361
SIZE
3.2 GB in 50 files
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Uploaded on 30-11-2023 by our crawler pet called "Spidey".
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Description

[ DevCourseWeb.com ] Master Vector Databases



If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com







Published 11/2023

Created by Adnan Waheed

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English | Duration: 43 Lectures ( 7h 16m ) | Size: 3.16 GB



Master Vector Database using Python, Embeddings, ChromaDB, Facebook FAISS, Qdrant, LangChain, Open AI



What you'll learn

Master Vector Database, Embeddings, ChromaDB, FAISS, Qdrant and much more

Learn integration Vector databases with LangChain, Open AI

Master Embeddings

Transformer Models for vector embedding, Generative AI, Open AI API Usage

Understand the fundamentals of vector databases and their role in AI, generative AI, and LLM (Language Model Models).

Implement code along exercises to build and optimize vector indexing systems for real-world applications.



Requirements

Basic python knowledge



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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/1. Introduction/1. Introduction to Vector Database.mp486.3 MB
~Get Your Files Here !/1. Introduction/2. Vectors and Embeddings.mp440.7 MB
~Get Your Files Here !/1. Introduction/3. Explain vector database like I'm 5.mp429.9 MB
~Get Your Files Here !/1. Introduction/4. How vector database store data.mp432.1 MB
~Get Your Files Here !/1. Introduction/5. How do vector database works.mp426.8 MB
~Get Your Files Here !/1. Introduction/6. Vectors in 2D.mp437 MB
~Get Your Files Here !/2. The power of embeddings/1. Create embeddings using OpenAI.mp492.4 MB
~Get Your Files Here !/2. The power of embeddings/1.1 VD_Vector_Embedding_OpenAI.ipynb47.5 KB
~Get Your Files Here !/2. The power of embeddings/2. Sentence Embedding Models.html3.5 KB
~Get Your Files Here !/3. Using SQLite as vector storage/1. Setup and basic operations.mp455.3 MB
~Get Your Files Here !/3. Using SQLite as vector storage/2. Creating, storing and retrieving vector data.mp4142.8 MB
~Get Your Files Here !/3. Using SQLite as vector storage/2.1 VD_SQLite_Vector_search.ipynb16.8 KB
~Get Your Files Here !/3. Using SQLite as vector storage/3. Finding nearest vector.mp448.3 MB
~Get Your Files Here !/3. Using SQLite as vector storage/4. Vector search using sqlite-vss extension.mp4149.2 MB
~Get Your Files Here !/3. Using SQLite as vector storage/4.1 VD_SQLite_VSS.ipynb12 KB
~Get Your Files Here !/4. ChromaDB/1. Introduction to ChromaDB.mp4125.4 MB
~Get Your Files Here !/4. ChromaDB/2. Revolutionizing the Data access with Vector Database.html5.2 KB
~Get Your Files Here !/4. ChromaDB/3. Methods on collections.mp460.6 MB
~Get Your Files Here !/4. ChromaDB/3.1 Vector_Database_ChromaDB.ipynb2.5 KB
~Get Your Files Here !/4. ChromaDB/4. Storing The Matrix collections.mp4103.9 MB
~Get Your Files Here !/4. ChromaDB/4.1 Vector_Database_ChromaDB__The_Matrix_.ipynb25.2 KB
~Get Your Files Here !/4. ChromaDB/5. Adding document associated embeddings.mp496 MB
~Get Your Files Here !/4. ChromaDB/6. Query data with 'where' filter.mp496 MB
~Get Your Files Here !/4. ChromaDB/7. ChromaDB + Langchain - QA on multiple documents - Part 1.mp4133.3 MB
~Get Your Files Here !/4. ChromaDB/7.1 VD_ChromaDB_+_Langchain_QA_Multiple_documents.ipynb27.2 KB
~Get Your Files Here !/4. ChromaDB/8. ChromaDB + Langchain - QA on multiple documents - Part 2.mp492.1 MB
~Get Your Files Here !/5. Facebook AI Similarity Search (FAISS)/1. Introduction to FAISS.mp4127.6 MB
~Get Your Files Here !/5. Facebook AI Similarity Search (FAISS)/2. Using similarity search for nearest neighbours.mp467 MB
~Get Your Files Here !/6. Pinecone/1. Introduction to Pinecone.mp4113 MB
~Get Your Files Here !/6. Pinecone/10. Vector IDs must be string.mp451.1 MB
~Get Your Files Here !/6. Pinecone/11. Sentence transformer embeddings.mp485.8 MB
~Get Your Files Here !/6. Pinecone/12. Semantic search with metadata filtering - news articles.mp4252.7 MB
~Get Your Files Here !/6. Pinecone/2. Setup account, create an index, dashboard review.mp497 MB
~Get Your Files Here !/6. Pinecone/3. Understanding index creation configuration.mp482.9 MB
~Get Your Files Here !/6. Pinecone/4. Index management.mp4114.9 MB
~Get Your Files Here !/6. Pinecone/5. Insert vector data to an index.mp4104.7 MB
~Get Your Files Here !/6. Pinecone/6. Query vector data.mp494.3 MB
~Get Your Files Here !/6. Pinecone/7. Upsert vector data in batches.mp4100.3 MB
~Get Your Files Here !/6. Pinecone/8. Upsert batches in parallel.mp417.7 MB
~Get Your Files Here !/6. Pinecone/9. Upsert with metadata.html381 B
~Get Your Files Here !/7. Qdrant/1. Introduction to Qdrant vector database.mp482.2 MB
~Get Your Files Here !/7. Qdrant/2. Connect with APIs.mp459.8 MB
~Get Your Files Here !/7. Qdrant/3. Create a qdrant python client.mp437 MB
~Get Your Files Here !/7. Qdrant/4. Create a collection.mp453.3 MB
~Get Your Files Here !/7. Qdrant/5. Create a vector store.mp445.3 MB
~Get Your Files Here !/7. Qdrant/6. Add document to vector store on the cloud.mp4118.7 MB
~Get Your Files Here !/7. Qdrant/7. Query the document.mp486 MB
~Get Your Files Here !/7. Qdrant/8. Create a streamlit QA app.html940 B
~Get Your Files Here !/8. Congratulations and Thank You!/1. Your feedback is very valuable!.html690 B
~Get Your Files Here !/Bonus Resources.txt386 B

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