Vector Search With a Vector Store
Retrieve the most relevant passages.
What a Vector Store Does
A vector store holds your chunk embeddings and finds the closest ones to a query fast, even across millions of vectors.
Searching by Similarity
Instead of matching keywords, you match meaning. The store returns chunks whose vectors sit nearest to the query vector.
All lessons in this course
- Why LLMs Need Retrieval
- Chunking and Embedding Documents
- Vector Search With a Vector Store
- Wiring Retrieval Into the Prompt