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Knowledge bases enable Retrieval Augmented Generation (RAG) by storing and querying documents. Agents can use knowledge bases to answer questions based on your documents, websites, and other content.

Quick Start

What is a Knowledge Base?

A knowledge base is a vector database that stores your documents as embeddings. When an agent receives a question, it:
  1. Searches the knowledge base for relevant content
  2. Retrieves the most relevant chunks
  3. Generates a response using the retrieved context
This is called Retrieval Augmented Generation (RAG).

Supported Document Types

Vector Store Providers

Key Operations

Create

Add Documents

Query

Use with Agent

Retrieval Types

Next Steps

Creating Knowledge Bases

Learn all creation options and configuration

Adding Documents

Add PDFs, websites, and other content

Querying

Search and retrieve from knowledge bases

Managing

Update, delete, and manage documents