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Module 07Advanced
Vector Databases
Dive into dense/sparse embeddings, chunking strategies, ANN indexing, hybrid search, and vector storage platforms.
Module Completion0 of 5 Topics (0%)
Topic Lessons (5)
47.
Embeddings & Similarity
20m •Dense vs. sparse embeddings, distance metrics (Cosine, Euclidean, Dot Product).
20m
48.
Chunking Strategies
20m •Fixed, recursive, semantic, parent-child chunking, and size optimization.
20m
49.
Indexing & Search
25m •HNSW, IVF, ANN trade-offs, hybrid search, and re-ranking.
25m
50.
Platform Selection
20m •Comparing Pinecone, Chroma, FAISS, Weaviate, Milvus, Qdrant, and LanceDB.
20m
51.
Production Operations
20m •Scaling, cost optimization, monitoring, and multi-tenant security.
20m