Introduction to Qdrant (Vector Database) Using Python --> [ DevCourseWeb ]


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Torrent File Content (49 files)


[ DevCourseWeb.com ] Introduction to Qdrant (Vector Database) Using Python
     Get Bonus Downloads Here.url -
182 bytes

    ~Get Your Files Here !
          1. Introduction/1. Introduction.mp4 -
21.75 MB

          1. Introduction/2. Vector Databases.mp4 -
28.77 MB

          1. Introduction/3. Components of a Vector Databases.mp4 -
54.97 MB

          1. Introduction/4. Vector Embeddings.mp4 -
45.35 MB

          1. Introduction/5. Vector Embeddings.html -
133 bytes

          1. Introduction/6. Vector Similarity Metrics.mp4 -
45.71 MB

          1. Introduction/7. Vector Similarity.html -
133 bytes

          2. Qdrant - Basics/1. Introduction and Installation.mp4 -
66.62 MB

          2. Qdrant - Basics/1.1 docker-compose.yaml -
262 bytes

          2. Qdrant - Basics/10. Similarity Search - Part 1.html -
133 bytes

          2. Qdrant - Basics/11. Vector similarity search in Qdrant - Part 2.mp4 -
46.31 MB

          2. Qdrant - Basics/12. Similarity Search - Part 2.html -
133 bytes

          2. Qdrant - Basics/2. Qdrant Storage Model.mp4 -
13.99 MB

          2. Qdrant - Basics/3. Qdrant Storage Model.html -
133 bytes

          2. Qdrant - Basics/4. Collections.mp4 -
29.6 MB

          2. Qdrant - Basics/4.1 1.collections.ipynb -
5.32 KB

          2. Qdrant - Basics/5. Collections.html -
133 bytes

          2. Qdrant - Basics/6. Points.mp4 -
40.82 MB

          2. Qdrant - Basics/6.1 2.Points.ipynb -
11.4 KB

          2. Qdrant - Basics/7. Points.html -
133 bytes

          2. Qdrant - Basics/8. Loading a Dataset into Qdrant.mp4 -
17.87 MB

          2. Qdrant - Basics/9. Vector Similarity Search in Qdrant - Part 1.mp4 -
38.51 MB

          2. Qdrant - Basics/9.1 3.search.ipynb -
137.07 KB

          3. Qdrant - Advanced/1. Payload Indexes.mp4 -
24.29 MB

          3. Qdrant - Advanced/1.1 4.Indexes.ipynb -
4.39 KB

          3. Qdrant - Advanced/10. Configuring Qdrant.mp4 -
44.38 MB

          3. Qdrant - Advanced/11. Optimizers.mp4 -
25.72 MB

          3. Qdrant - Advanced/12. Qdrant - Async Python Client.mp4 -
21.61 MB

          3. Qdrant - Advanced/12.1 async_example.py -
546 bytes

          3. Qdrant - Advanced/2. Payload Indexes.html -
133 bytes

          3. Qdrant - Advanced/3. Vector Index.mp4 -
24.61 MB

          3. Qdrant - Advanced/4. Indexing the Vectors.html -
133 bytes

          3. Qdrant - Advanced/5. Vector Quantization - Part 1.mp4 -
25.73 MB

          3. Qdrant - Advanced/5.1 5.quantization.ipynb -
4.67 KB

          3. Qdrant - Advanced/6. Quantization - Part 1.html -
133 bytes

          3. Qdrant - Advanced/7. Vector Quantization - Part 2.mp4 -
28.33 MB

          3. Qdrant - Advanced/8. Vector Quantization - Part 2.html -
133 bytes

          3. Qdrant - Advanced/9. Snapshots.mp4 -
11.8 MB

          3. Qdrant - Advanced/9.1 6.snapshots.ipynb -
3.82 KB

          4. Qdrant - Examples (Optional)/1. Qdrant + Tensorflow.mp4 -
41.28 MB

          4. Qdrant - Examples (Optional)/1.1 7.tf_example.ipynb -
8.7 KB

          4. Qdrant - Examples (Optional)/2. Qdrant + OpenAI.mp4 -
42.29 MB

          4. Qdrant - Examples (Optional)/2.1 8.openai_example.ipynb -
9.83 KB

          4. Qdrant - Examples (Optional)/3. Qdrant + LangChain.mp4 -
35.02 MB

          4. Qdrant - Examples (Optional)/3.1 9.langchain_example.ipynb -
4.65 KB

          4. Qdrant - Examples (Optional)/3.2 nobel_physics_2023.txt -
2.25 KB

          5. Conclusion/1. Conclusion.mp4 -
12.19 MB

          Bonus Resources.txt -
386 bytes



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