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AI-powered Q&A grounded in your project’s content
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Answers a natural language question using content from your project as context. The endpoint first performs semantic retrieval to find relevant content, then sends the context to an LLM to generate a grounded answer. Responds via Server-Sent Events (SSE) for streaming output. Requires a paid plan with semantic search enabled.Documentation Index
Fetch the complete documentation index at: https://docs.replyke.com/llms.txt
Use this file to discover all available pages before exploring further.
Body Parameters
The question to answer. Typos and ambiguous phrasing are handled gracefully.
Content types to use as context. Any combination of
entity, comment, message.Restrict the context lookup to a specific space.
Restrict message context lookup to a specific conversation.
Maximum number of content chunks to retrieve for context. Maximum
50.Response
The response is a Server-Sent Events stream withContent-Type: text/event-stream. Three event types are emitted:
token — streamed LLM answer tokens:
sources — the content records used as context, sent after the answer is complete:
sourceType, similarity, and a fully populated record. An empty array is sent when no relevant context was found.
done — signals the stream is finished:
If no relevant content is found above the similarity threshold, the LLM response is skipped and the answer event immediately says “I couldn’t find any relevant content to answer your question.”
Error Responses
Plan Required — 403
Plan Required — 403
Error Event (during stream)
Error Event (during stream)
If an error occurs after streaming starts:

