[ DevCourseWeb.com ] Introduction to Qdrant (Vector Database) Using Python

Torrent Hash:
8B6C836D63B142A1BF8F551C68514835C65CB21E
Number of Files:
49
Content Size:
787.72MB
Convert On:
2024-03-22
Magnet Link:
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File Name
Size
Get Bonus Downloads Here.url
182B
~Get Your Files Here !/1. Introduction/1. Introduction.mp4
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~Get Your Files Here !/1. Introduction/2. Vector Databases.mp4
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~Get Your Files Here !/1. Introduction/3. Components of a Vector Databases.mp4
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~Get Your Files Here !/1. Introduction/4. Vector Embeddings.mp4
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~Get Your Files Here !/1. Introduction/5. Vector Embeddings.html
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~Get Your Files Here !/1. Introduction/6. Vector Similarity Metrics.mp4
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~Get Your Files Here !/1. Introduction/7. Vector Similarity.html
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~Get Your Files Here !/2. Qdrant - Basics/1. Introduction and Installation.mp4
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~Get Your Files Here !/2. Qdrant - Basics/1.1 docker-compose.yaml
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~Get Your Files Here !/2. Qdrant - Basics/10. Similarity Search - Part 1.html
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~Get Your Files Here !/2. Qdrant - Basics/11. Vector similarity search in Qdrant - Part 2.mp4
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~Get Your Files Here !/2. Qdrant - Basics/2. Qdrant Storage Model.mp4
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~Get Your Files Here !/2. Qdrant - Basics/3. Qdrant Storage Model.html
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~Get Your Files Here !/2. Qdrant - Basics/4. Collections.mp4
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~Get Your Files Here !/2. Qdrant - Basics/4.1 1.collections.ipynb
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~Get Your Files Here !/2. Qdrant - Basics/5. Collections.html
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~Get Your Files Here !/2. Qdrant - Basics/6. Points.mp4
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~Get Your Files Here !/2. Qdrant - Basics/6.1 2.Points.ipynb
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~Get Your Files Here !/2. Qdrant - Basics/7. Points.html
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~Get Your Files Here !/2. Qdrant - Basics/8. Loading a Dataset into Qdrant.mp4
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~Get Your Files Here !/2. Qdrant - Basics/9. Vector Similarity Search in Qdrant - Part 1.mp4
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~Get Your Files Here !/3. Qdrant - Advanced/1. Payload Indexes.mp4
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~Get Your Files Here !/3. Qdrant - Advanced/1.1 4.Indexes.ipynb
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~Get Your Files Here !/3. Qdrant - Advanced/10. Configuring Qdrant.mp4
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~Get Your Files Here !/3. Qdrant - Advanced/12. Qdrant - Async Python Client.mp4
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~Get Your Files Here !/3. Qdrant - Advanced/12.1 async_example.py
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~Get Your Files Here !/3. Qdrant - Advanced/2. Payload Indexes.html
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~Get Your Files Here !/3. Qdrant - Advanced/3. Vector Index.mp4
24.61MB
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~Get Your Files Here !/3. Qdrant - Advanced/4. Indexing the Vectors.html
133B
~Get Your Files Here !/3. Qdrant - Advanced/5. Vector Quantization - Part 1.mp4
25.73MB
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~Get Your Files Here !/3. Qdrant - Advanced/5.1 5.quantization.ipynb
4.67KB
~Get Your Files Here !/3. Qdrant - Advanced/6. Quantization - Part 1.html
133B
~Get Your Files Here !/3. Qdrant - Advanced/7. Vector Quantization - Part 2.mp4
28.33MB
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~Get Your Files Here !/3. Qdrant - Advanced/8. Vector Quantization - Part 2.html
133B
~Get Your Files Here !/3. Qdrant - Advanced/9. Snapshots.mp4
11.8MB
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~Get Your Files Here !/3. Qdrant - Advanced/9.1 6.snapshots.ipynb
3.82KB
~Get Your Files Here !/4. Qdrant - Examples (Optional)/1. Qdrant + Tensorflow.mp4
41.28MB
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~Get Your Files Here !/4. Qdrant - Examples (Optional)/1.1 7.tf_example.ipynb
8.7KB
~Get Your Files Here !/4. Qdrant - Examples (Optional)/2. Qdrant + OpenAI.mp4
42.29MB
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~Get Your Files Here !/4. Qdrant - Examples (Optional)/2.1 8.openai_example.ipynb
9.83KB
~Get Your Files Here !/4. Qdrant - Examples (Optional)/3. Qdrant + LangChain.mp4
35.02MB
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~Get Your Files Here !/4. Qdrant - Examples (Optional)/3.1 9.langchain_example.ipynb
4.65KB
~Get Your Files Here !/4. Qdrant - Examples (Optional)/3.2 nobel_physics_2023.txt
2.25KB
~Get Your Files Here !/5. Conclusion/1. Conclusion.mp4
12.19MB
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~Get Your Files Here !/Bonus Resources.txt
386B

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