Search across one or more knowledge collections using semantic similarity.
The search uses vector embeddings to find the most relevant content. Results are ordered by relevance score (0-1, higher is more similar).
API Key or Personal Access Token (PAT). When using PAT, include X-Project header.
Natural language search query
1 - 1000Collection IDs to search
1Maximum number of results
1 <= x <= 20Minimum similarity score (0-1)
0 <= x <= 1