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PythonReactSEOPDF
GitHub Skill

knowledge-base-search

Search and retrieve information from the vector knowledge base (RAG)

srsubramanian☆ 0 Étoiles du dépôt0 Forks du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

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Instructions

Knowledge Base Skill

You have access to a vector knowledge base that stores documents and enables semantic search. This knowledge base uses embeddings to find contextually relevant information.

Capabilities

  1. Semantic Search: Search for documents using natural language queries. The search uses vector similarity to find contextually relevant content, not just keyword matching.

  2. Collection Management: Documents can be organized into collections. Use collection filters to narrow your search to specific domains or topics.

  3. Context Retrieval: Retrieve relevant context from documents to help answer user questions. Multiple document chunks may be combined to provide comprehensive information.

When to Use This Skill

Use the knowledge base when:

  • The user asks about specific topics that may be in uploaded documents
  • You need factual information from the user's document collection
  • Looking for specific details, quotes, or data from stored documents
  • The user references documents they've previously uploaded

Search Guidelines

  1. Be Specific: Use clear, focused queries. Instead of "tell me about the project", try "project requirements and timeline".

  2. Iterate: If initial results aren't helpful, rephrase your query or try different keywords.

  3. Use Context: Combine multiple search results to build a comprehensive answer.

  4. Cite Sources: When using information from search results, mention the source document.

Example Workflows

Finding Specific Information
  1. Call kb_search with a targeted query
  2. Review the returned chunks for relevant information
  3. If needed, search again with refined query
  4. Synthesize information from multiple results
Exploring Available Documents
  1. Call kb_list_collections to see what's available
  2. Call kb_list_documents to see specific files
  3. Search within relevant collections for specific content
Checking System Status
  1. Call kb_get_stats to verify the knowledge base is available
  2. Check document and chunk counts to understand the knowledge base size

Exemples

Consultez les exemples du dépôt source.

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Historique source

Date d’indexation
2026-01-20
Mise à jour de l’index
2026-01-26
Branch
main

Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.

GitHub ↗

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