---
title: "Search Parameters"
description: "Complete reference for all search parameters and their effects"
---


Complete parameter reference for all three search endpoints: document search, memory search, and execute search.

## Common Parameters

These parameters work across all search endpoints:

<ParamField query="q" type="string" required>
  **Search query string**

  The text you want to search for. Can be natural language, keywords, or questions.

  ```typescript
  q: "machine learning neural networks"
  q: "What are the applications of quantum computing?"
  q: "python tutorial beginner"
  ```
</ParamField>

<ParamField query="limit" type="number" default="10">
  **Maximum number of results to return**

  Controls how many results you get back. Higher limits increase response time and size.

  ```typescript
  limit: 5    // Fast, focused results
  limit: 20   // Comprehensive results
  limit: 100  // Maximum recommended
  ```
</ParamField>

<ParamField query="containerTags" type="Array<string>">
  **Filter by container tags**

  Organizational tags for filtering results. Uses **exact array matching** - must match all tags in the same order.

  ```typescript
  containerTags: ["user_123"]                    // Single tag
  containerTags: ["user_123", "project_ai"]      // Multiple tags (exact match)
  ```
</ParamField>

<ParamField query="filters" type="string">
  **Metadata filtering with SQL-like structure**

  JSON string containing AND/OR logic for filtering by metadata fields. Uses the same structure as memory listing filters.

  ```typescript
  filters: JSON.stringify({
    AND: [
      { key: "category", value: "tutorial", negate: false },
      { key: "difficulty", value: "beginner", negate: false }
    ]
  })
  ```

  <Note>
    See [Metadata Filtering Guide](/search/filtering) for complete syntax and examples.
  </Note>
</ParamField>

<ParamField query="rerank" type="boolean" default="false">
  **Re-score results for better relevance**

  Applies a secondary ranking algorithm to improve result quality. Adds ~100-200ms latency but increases accuracy.

  ```typescript
  rerank: true   // Better accuracy, slower
  rerank: false  // Faster, standard accuracy
  ```
</ParamField>

<ParamField query="rewriteQuery" type="boolean" default="false">
  **Expand and improve the query**

  Rewrites your query to find more relevant results. Particularly useful for abbreviations and domain-specific terms. **Adds ~400ms latency**.

  ```typescript
  // Query rewriting examples:
  "ML" → "machine learning artificial intelligence"
  "JS" → "JavaScript programming language"
  "API" → "application programming interface REST"
  ```

  <Warning>
    Query rewriting significantly increases latency. Only use when search quality is more important than speed.
  </Warning>
</ParamField>

## Document Search Parameters (POST `/v3/search`)

These parameters are specific to `client.search.documents()`:

<ParamField query="chunkThreshold" type="number" range="0-1" default="0.5">
  **Sensitivity for chunk selection**

  Controls which text chunks are included in results:
  - **0.0** = Least sensitive (more chunks, more results)
  - **1.0** = Most sensitive (fewer chunks, higher quality)

  ```typescript
  chunkThreshold: 0.2   // Broad search, many chunks
  chunkThreshold: 0.8   // Precise search, only relevant chunks
  ```
</ParamField>

<ParamField query="documentThreshold" type="number" range="0-1" default="0.5">
  **Sensitivity for document selection**

  Controls which documents are considered for search:
  - **0.0** = Search more documents (comprehensive)
  - **1.0** = Search only highly relevant documents (focused)

  ```typescript
  documentThreshold: 0.1   // Cast wide net
  documentThreshold: 0.9   // Only very relevant documents
  ```
</ParamField>

<ParamField query="docId" type="string">
  **Search within a specific document**

  Limit search to chunks within a single document. Useful for finding content in large documents.

  ```typescript
  docId: "doc_abc123"  // Only search this document
  ```
</ParamField>

<ParamField query="onlyMatchingChunks" type="boolean" default="false">
  **Return only exact matching chunks**

  By default, Supermemory includes surrounding chunks for context. Set to `true` to get only the exact matching text.

  ```typescript
  onlyMatchingChunks: false  // Include context chunks (default)
  onlyMatchingChunks: true   // Only matching chunks
  ```

  <Note>
    Context chunks help LLMs understand the full meaning. Only disable if you need precise text extraction.
  </Note>
</ParamField>

<ParamField query="includeFullDocs" type="boolean" default="false">
  **Include complete document content**

  Adds the full document text to each result. Useful for chatbots that need complete context.

  ```typescript
  includeFullDocs: true   // Full document in response
  includeFullDocs: false  // Only chunks and metadata
  ```

  <Warning>
    Including full documents can make responses very large. Use sparingly and with appropriate limits.
  </Warning>
</ParamField>

<ParamField query="includeSummary" type="boolean" default="false">
  **Include document summaries**

  Adds AI-generated document summaries to results. Good middle-ground between chunks and full documents.

  ```typescript
  includeSummary: true   // Include document summaries
  includeSummary: false  // No summaries
  ```
</ParamField>

<ParamField query="filters" type="string">
  **Filter by metadata using SQL queries**

  ```typescript

  // Use this instead:
  filters: JSON.stringify({
    OR: [
      { key: "category", value: "technology", negate: false },
      { key: "category", value: "science", negate: false }
    ]
  })
  ```
</ParamField>

## Memory Search Parameters (POST `/v4/search`)

These parameters are specific to `client.search.memories()`:

<ParamField query="threshold" type="number" range="0-1" default="0.5">
  **Sensitivity for memory selection**

  Controls which memories are returned based on similarity:
  - **0.0** = Return more memories (broad search)
  - **1.0** = Return only highly similar memories (precise search)

  ```typescript
  threshold: 0.3   // Broader memory search
  threshold: 0.8   // Only very similar memories
  ```
</ParamField>

<ParamField query="containerTag" type="string">
  **Filter by single container tag**

  Note: Memory search uses `containerTag` (singular) while document search uses `containerTags` (plural array).

  ```typescript
  containerTag: "user_123"  // Single tag for memory search
  ```
</ParamField>

<ParamField query="include" type="object">
  **Control what additional data to include**

  Object specifying what contextual information to include with memory results.

  <ParamField query="include.documents" type="boolean" default="false">
    Include associated documents for each memory
  </ParamField>

  <ParamField query="include.relatedMemories" type="boolean" default="false">
    Include parent and child memories (contextual relationships)
  </ParamField>

  <ParamField query="include.summaries" type="boolean" default="false">
    Include memory summaries
  </ParamField>

  ```typescript
  include: {
    documents: true,        // Show related documents
    relatedMemories: true,  // Show parent/child memories
    summaries: true         // Include summaries
  }
  ```
</ParamField>
