Vector Databases

Semantic search vs keyword search, ANN algorithms, what SQL cannot do

FAISS vs Pinecone/Weaviate/Chroma — key differences

Dense vector search, clustering, IndexFlatL2 vs IndexIVFFlat, from_documents()

Managed vector store, namespaces, metadata filtering, upsert and query

text-embedding-ada-002, embedding dimensions, cost, LangChain integration

Formula, geometric interpretation, why not Euclidean, score range

Chunks → embed → store → query embed → similarity search → top-k chunks

Feature comparison, local vs cloud, open-source options for RAG