Pluralsight Introduction to Vector Databases 2026

205.75 MB | 4min 37s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English

Files Included :
FileName :01-Finding Meaning.mp4 | Size: (20.71 MB)
FileName :02-The Problem Vector Databases Solve.mp4 | Size: (10.21 MB)
FileName :03-Vector DBs in AI Applications.mp4 | Size: (12.64 MB)
FileName :01-What Is an Embedding.mp4 | Size: (5.4 MB)
FileName :02-Measuring Meaning.mp4 | Size: (7.24 MB)
FileName :03-The Anatomy of a Vector Search.mp4 | Size: (8.48 MB)
FileName :01-Vector vs Traditional Databases.mp4 | Size: (10.18 MB)
FileName :02-Indexing and ANN.mp4 | Size: (8.46 MB)
FileName :03-Metadata Filtering.mp4 | Size: (4.84 MB)
FileName :04-Metadata Filtering in Practice.mp4 | Size: (9.56 MB)
FileName :01-Retrieval-Augmented Generation RAG.mp4 | Size: (7.63 MB)
FileName :02-Implementation of RAG.mp4 | Size: (8.02 MB)
FileName :03-Recommendation Systems and Anomaly Detection.mp4 | Size: (6.94 MB)
FileName :04-Implementation of a Recommendation System.mp4 | Size: (16.66 MB)
FileName :01-Recall vs Latency.mp4 | Size: (8 MB)
FileName :02-Capacity Planning and Measuring Success.mp4 | Size: (7.37 MB)
FileName :03-Tuning Recall and Latency.mp4 | Size: (15.79 MB)]
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