API · Apr 2025 — May 2025
Hybrid Search with Highlights, Facets, and Entity Expansion
Full-text, vector, and graph search with strategy-aware retrieval policies.
Services
Technologies
Software
Client
CogMem Open Source
CogMem provides a unified search API that combines full-text search with highlights, vector similarity search, and graph-based entity expansion. The active MemoryStrategy governs which retrieval mode is used — the system learns whether FTS, vector, graph, or hybrid search works best for your domain.
The search API resolves the active retrieval policy from the MemoryStrategy, then executes the appropriate search workflow. Results include highlighted snippets, faceted filters, and related entities. Outcome events are emitted after every search so the ACP can learn which retrieval approach works best.
Combines full-text, vector, and graph search in a single API call.
Search results include highlighted snippets showing matching terms.
Filter results by source, content type, and other facets.
Related entities from the knowledge graph are included in results.
Retrieval mode adapts based on the active MemoryStrategy.
Every search emits outcome events for the ACP to learn from.
Get started with CogMem and transform how your AI agents remember, organize, and evolve knowledge.
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Website
cogmem.ai