Download Udemy - Master Vector Databases Torrent

Torrent Contents Size: 3.2 GB

Udemy - Master Vector Databases

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1. Create embeddings using OpenAI.mp4	MP4	92.4 MB
1. Introduction to ChromaDB.mp4	MP4	125.4 MB
1. Introduction to FAISS.mp4	MP4	127.6 MB
1. Introduction to Pinecone.mp4	MP4	113 MB
1. Introduction to Qdrant vector database.mp4	MP4	82.2 MB
1. Introduction to Vector Database.mp4	MP4	86.3 MB
1. Setup and basic operations.mp4	MP4	55.3 MB
1. Your feedback is very valuable!.html	HTML	716.8 B
1.1 VD_Vector_Embedding_OpenAI.ipynb	IPYNB	47.5 KB
10. Vector IDs must be string.mp4	MP4	51.1 MB
11. Sentence transformer embeddings.mp4	MP4	85.8 MB
12. Semantic search with metadata filtering - news articles.mp4	MP4	252.7 MB
2. Connect with APIs.mp4	MP4	59.8 MB
2. Creating, storing and retrieving vector data.mp4	MP4	142.8 MB
2. Revolutionizing the Data access with Vector Database.html	HTML	5.2 KB
2. Sentence Embedding Models.html	HTML	3.5 KB
2. Setup account, create an index, dashboard review.mp4	MP4	97 MB
2. Using similarity search for nearest neighbours.mp4	MP4	67 MB
2. Vectors and Embeddings.mp4	MP4	40.7 MB
2.1 VD_SQLite_Vector_search.ipynb	IPYNB	16.8 KB
3. Create a qdrant python client.mp4	MP4	37 MB
3. Explain vector database like I'm 5.mp4	MP4	29.9 MB
3. Finding nearest vector.mp4	MP4	48.3 MB
3. Methods on collections.mp4	MP4	60.6 MB
3. Understanding index creation configuration.mp4	MP4	82.9 MB
3.1 Vector_Database_ChromaDB.ipynb	IPYNB	2.5 KB
4. Create a collection.mp4	MP4	53.3 MB
4. How vector database store data.mp4	MP4	32.1 MB
4. Index management.mp4	MP4	114.9 MB
4. Storing The Matrix collections.mp4	MP4	103.9 MB
4. Vector search using sqlite-vss extension.mp4	MP4	149.2 MB
4.1 VD_SQLite_VSS.ipynb	IPYNB	12 KB
4.1 Vector_Database_ChromaDB__The_Matrix_.ipynb	IPYNB	25.2 KB
5. Adding document associated embeddings.mp4	MP4	96 MB
5. Create a vector store.mp4	MP4	45.3 MB
5. How do vector database works.mp4	MP4	26.8 MB
5. Insert vector data to an index.mp4	MP4	104.7 MB
6. Add document to vector store on the cloud.mp4	MP4	118.7 MB
6. Query data with 'where' filter.mp4	MP4	96 MB
6. Query vector data.mp4	MP4	94.3 MB
6. Vectors in 2D.mp4	MP4	37 MB
7. ChromaDB + Langchain - QA on multiple documents - Part 1.mp4	MP4	133.3 MB
7. Query the document.mp4	MP4	86 MB
7. Upsert vector data in batches.mp4	MP4	100.3 MB
7.1 VD_ChromaDB_+_Langchain_QA_Multiple_documents.ipynb	IPYNB	27.2 KB
8. ChromaDB + Langchain - QA on multiple documents - Part 2.mp4	MP4	92.1 MB
8. Create a streamlit QA app.html	HTML	921.6 B
8. Upsert batches in parallel.mp4	MP4	17.7 MB
9. Upsert with metadata.html	HTML	409.6 B
Bonus Resources.txt	TXT	409.6 B
Get Bonus Downloads Here.url	URL	204.8 B

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Udemy - Master Vector Databases

Torrent Contents Size: 3.2 GB

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