Semantic search conversation contexts using vector embeddings and hybrid (vector + BM25) search. Uses vector store for fast similarity search across context content. Returns results ranked by relevance with optional match highlights and workspace filtering.
API key must be provided in the Authorization header
Search query
1Maximum number of results
1 <= x <= 100Include match highlights in results
Filter by specific workspace name