overseas expansion and architecture / TOKEN WIKI
vector database The
In one sentence
vector database supports the storage and retrieval of vectors, often used with metadata filtering for semantic search and knowledge base applications.
Why it matters
indexing strategy affects recall, latency, resource overhead, and update experience.
Practical considerations
combines the actual data size, permission filtering and update frequency evaluation to not only compare the performance under no filtering conditions. Is the
FAQ
vector search result the final answer?
No, search usually provides candidate data, which also needs to be sorted, generated or otherwise processed.
