YUNOVA · Natural Language Processing · Module 11: Search and generation

Vector databases for NLP

Notes for offline study · 4 November 2026

Key points

  • A vector database stores embeddings and finds the nearest ones fast.
  • Approximate nearest neighbour indexes such as HNSW trade a little accuracy for speed.
  • Examples include FAISS, Pinecone, Weaviate and pgvector.