search-strategy

Query decomposition breaks a natural language question into parallel, source-specific sub-queries. These sub-queries are routed to connected enterprise knowledge bases, document stores, and chat systems simultaneously, returning synthesized results.

Multi-source search ranking merges results from all queried systems and applies deduplication to remove redundant records. The remaining unique entries are then ranked by calculated relevance to the original query.

Source translation and routing translates your natural language query into source-specific syntax. It routes these deterministic sub-queries to each connected document store and project record system for targeted retrieval.

Ambiguity handling detects unclear intent within the query and applies fallback strategies to ensure coverage. This fallback mechanism guarantees the search returns functional results even when source-specific queries lack precise matches.

Orchestrating parallel searches uses query decomposition to generate source-targeted sub-queries for your chat systems and project records. Results are merged, deduplicated, and ranked by relevance to synthesize a unified answer.

No query formatting is required. You provide a single natural language question and the search strategy automatically decomposes it into deterministic per-source sub-queries for routing to each connected knowledge source.