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Supermemory - Growsales AI

Interact with Supermemory — AI-powered memory, document management, and semantic search

Actions22

Search → Search

AI-generated

Summary

Perform a semantic search across stored memories and document chunks using a natural language query, returning the most relevant results.

Inputs

  • query (required) — Natural language query to search for. Supermemory returns the most semantically relevant memories and document chunks.
  • searchAdditionalFields — Additional options to refine the search (all optional).

Output shape

Array of search result objects, each containing id, content, score, and metadata for matched memories or document chunks.

The operation maps to a POST request to /v4/search with parameters: q (query), containerTag, searchMode, limit, rerank, threshold, and filters derived from filtersJson.

Examples

Example 1: Find recent decisions about pricing

Query: 'What were the key decisions from last week?', Search Mode: Hybrid (default), Limit: 10, Threshold: 0.6

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