Introduction to Qdrant (Vector Database) Using Python

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mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:787.52 MB


Files Included :

1 Introduction.mp4 (21.75 MB)
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2 Vector Databases.mp4 (28.77 MB)
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3 Components of a Vector Databases.mp4 (54.97 MB)
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4 Vector Embeddings.mp4 (45.35 MB)
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6 Vector Similarity Metrics.mp4 (45.71 MB)
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1 Introduction and Installation.mp4 (66.62 MB)
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11 Vector similarity search in Qdrant - Part 2.mp4 (46.31 MB)
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2 Qdrant Storage Model.mp4 (13.99 MB)
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4 Collections.mp4 (29.6 MB)
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6 Points.mp4 (40.82 MB)
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8 Loading a Dataset into Qdrant.mp4 (17.87 MB)
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9 Vector Similarity Search in Qdrant - Part 1.mp4 (38.51 MB)
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1 Payload Indexes.mp4 (24.29 MB)
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10 Configuring Qdrant.mp4 (44.38 MB)
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11 Optimizers.mp4 (25.72 MB)
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12 Qdrant - Async Python Client.mp4 (21.61 MB)
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3 Vector Index.mp4 (24.61 MB)
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5 Vector Quantization - Part 1.mp4 (25.73 MB)
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7 Vector Quantization - Part 2.mp4 (28.33 MB)
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9 Snapshots.mp4 (11.8 MB)
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1 Qdrant + Tensorflow.mp4 (41.28 MB)
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2 Qdrant + OpenAI.mp4 (42.29 MB)
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3 Qdrant + LangChain.mp4 (35.02 MB)
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1 Conclusion.mp4 (12.19 MB)
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