remnic-search

Full-text search across large memory stores surfaces relevant context by using the remnic_lcm_search tool to locate exact phrases, topics, and entities. It groups results by date or category when metadata is available, presenting top matches with dates and excerpts.

The best way to find exact matches in memory datasets for a compliance audit is exhaustive full-text search. It scans the entire memory store to locate precise phrases, groups results by metadata like date or category, and presents short excerpts for quick recall.

Yes, you can group memory search results by date and category when researching project retrospectives. The search function organizes matched memories by available metadata, presenting top results with dates and short excerpts to support quick recall and auditing.

To retrieve exact phrases from memory contexts without manual recall, perform a full-text search across the memory store. This surfaces relevant context by matching precise phrases, topics, and entities, then displays top matches with dates and excerpts.

Memory search works for auditing past decisions across a large memory dataset by performing exhaustive full-text search. It locates exact matches, groups results by metadata like date or category, and provides short excerpts to accelerate discovery and reduce manual effort.

Full-text memory search requires available metadata to group results by date or category. It is designed for exhaustive exact-match retrieval across large memory stores, so it may not support semantic or fuzzy matching for imprecise queries without exact phrases.