Run Chronicle retrieval for one string query or a list of sub-queries; return standardized chunks with metadata. Supports optional date window and metadata filters.

Best practices for the calling LLM:

• Decompose complex questions into 3-5 focused keyword queries.

• Use array syntax: ["topic keywords", "related concept"] not full sentences.

• Use filters when you know the content type or project.

• Use date_from/date_to for temporal queries.

The returned chunks contain source_name, timestamp, relevance_score, content_raw, content_type, and project fields. The calling LLM should synthesize an evidence-based answer from these chunks, citing sources and presenting an evidence timeline.

Light connectivity and status probe. Returns server info, environment flags, and runs a tiny test retrieval to verify the vector store is accessible.