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Checked by:
Category:
Language:
English
Total Size:
3.2 GB
Info Hash:
5DFBEE5B0F6E6D0935C1809B60CBD29868F90361
Added By:
Added:
Nov. 30, 2023, 5:12 p.m.
Stats:
|
(Last updated: May 7, 2025, 9:54 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 182 bytes |
| 1. Introduction to Vector Database.mp4 | 86.3 MB |
| 2. Vectors and Embeddings.mp4 | 40.7 MB |
| 3. Explain vector database like I'm 5.mp4 | 29.9 MB |
| 4. How vector database store data.mp4 | 32.1 MB |
| 5. How do vector database works.mp4 | 26.8 MB |
| 6. Vectors in 2D.mp4 | 37.0 MB |
| 1. Create embeddings using OpenAI.mp4 | 92.4 MB |
| 1.1 VD_Vector_Embedding_OpenAI.ipynb | 47.5 KB |
| 2. Sentence Embedding Models.html | 3.5 KB |
| 1. Setup and basic operations.mp4 | 55.3 MB |
| 2. Creating, storing and retrieving vector data.mp4 | 142.8 MB |
| 2.1 VD_SQLite_Vector_search.ipynb | 16.8 KB |
| 3. Finding nearest vector.mp4 | 48.3 MB |
| 4. Vector search using sqlite-vss extension.mp4 | 149.2 MB |
| 4.1 VD_SQLite_VSS.ipynb | 12.0 KB |
| 1. Introduction to ChromaDB.mp4 | 125.4 MB |
| 2. Revolutionizing the Data access with Vector Database.html | 5.2 KB |
| 3. Methods on collections.mp4 | 60.6 MB |
| 3.1 Vector_Database_ChromaDB.ipynb | 2.5 KB |
| 4. Storing The Matrix collections.mp4 | 103.9 MB |
| 4.1 Vector_Database_ChromaDB__The_Matrix_.ipynb | 25.2 KB |
| 5. Adding document associated embeddings.mp4 | 96.0 MB |
| 6. Query data with 'where' filter.mp4 | 96.0 MB |
| 7. ChromaDB + Langchain - QA on multiple documents - Part 1.mp4 | 133.3 MB |
| 7.1 VD_ChromaDB_+_Langchain_QA_Multiple_documents.ipynb | 27.2 KB |
| 8. ChromaDB + Langchain - QA on multiple documents - Part 2.mp4 | 92.1 MB |
| 1. Introduction to FAISS.mp4 | 127.6 MB |
| 2. Using similarity search for nearest neighbours.mp4 | 67.0 MB |
| 1. Introduction to Pinecone.mp4 | 113.0 MB |
| 10. Vector IDs must be string.mp4 | 51.1 MB |
| 11. Sentence transformer embeddings.mp4 | 85.8 MB |
| 12. Semantic search with metadata filtering - news articles.mp4 | 252.7 MB |
| 2. Setup account, create an index, dashboard review.mp4 | 97.0 MB |
| 3. Understanding index creation configuration.mp4 | 82.9 MB |
| 4. Index management.mp4 | 114.9 MB |
| 5. Insert vector data to an index.mp4 | 104.7 MB |
| 6. Query vector data.mp4 | 94.3 MB |
| 7. Upsert vector data in batches.mp4 | 100.3 MB |
| 8. Upsert batches in parallel.mp4 | 17.7 MB |
| 9. Upsert with metadata.html | 381 bytes |
| 1. Introduction to Qdrant vector database.mp4 | 82.2 MB |
| 2. Connect with APIs.mp4 | 59.8 MB |
| 3. Create a qdrant python client.mp4 | 37.0 MB |
| 4. Create a collection.mp4 | 53.3 MB |
| 5. Create a vector store.mp4 | 45.3 MB |
| 6. Add document to vector store on the cloud.mp4 | 118.7 MB |
| 7. Query the document.mp4 | 86.0 MB |
| 8. Create a streamlit QA app.html | 940 bytes |
| 1. Your feedback is very valuable!.html | 690 bytes |
| Bonus Resources.txt | 386 bytes |
Name
DL
Uploader
Size
S/L
Added
-
3.2 GB
[27
/
3]
2023-11-30
| Uploaded by FreeCourseWeb | Size 3.2 GB | Health [ 27 /3 ] | Added 2023-11-30 |
-
117.2 MB
[19
/
41]
2026-03-29
| Uploaded by XXXClub | Size 117.2 MB | Health [ 19 /41 ] | Added 2026-03-29 |
-
544.2 MB
[29
/
14]
2026-03-30
| Uploaded by XXXClub | Size 544.2 MB | Health [ 29 /14 ] | Added 2026-03-30 |
NOTE
SOURCE: Master Vector Databases DevCourseWeb
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