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