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Documentation Index

Fetch the complete documentation index at: https://docs.agent.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Overview

Fetch semantic search results from the builder’s knowledge base, enabling you to use structured data for analysis and decision-making.

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Use Cases

  • Content Retrieval: Search for specific information in a structured knowledge base, such as FAQs or product documentation.
  • Automated Assistance: Power AI agents with relevant context from internal resources.

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Configuration Fields

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Query

  • Description: Enter the search query to retrieve relevant knowledge base entries.
  • Example: “Latest sales strategies” or “Integration instructions.”
  • Required: Yes

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Builder Knowledge Base to Use

  • Description: Select the knowledge base to search from.
  • Example: “Product Documentation” or “Employee Handbook.”
  • Required: Yes

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Max Number of Document Chunks to Retrieve

  • Description: Specify the maximum number of document chunks to return.
  • Example: “5” or “10.”
  • Required: Yes

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Qualitative Vector Score Cutoff for Semantic Search Cosine Similarity

  • Description: Set the score threshold for search relevance.
  • Example: “0.2” for broad results or “0.7” for precise matches.
  • Required: Yes

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Output Variable Name

  • Description: Assign a variable name to store the search results.
  • Example: “knowledge_base_results” or “kb_entries.”
  • Validation: Only letters, numbers, and underscores (_) are allowed.
  • Required: Yes