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- Intro
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Classroom Contents
Vector Databases for RAG: Indexing and Similarity Methods
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- 1 - Intro
- 2 - Why Vector DBs
- 3 - Types of DBs
- 4 - How do Vector DBs work?
- 5 - Flat Indexing
- 6 - Local Sensitivity Hashing LSH
- 7 - Hierarchical Navigable Small World HNSW
- 8 - Inverted File Indexing IFI
- 9 - Product Quantization PQ
- 10 - Approximate Nearest Neighbour Oh Yeah Annoy
- 11 - Random Projection RP
- 12 - Which Indexing method to choose?
- 13 - Querying VectorDBs
