> ## Documentation Index
> Fetch the complete documentation index at: https://docs.athina.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Knowledge Retrieval

> Retrieve documents from a knowledge base.

The Knowledge Retrieval block allows you to search and retrieve relevant documents from your Athina Knowledge Base using semantic similarity search.

## Overview

The Knowledge Retrieval block is designed to:

* Search through your uploaded documents using semantic similarity
* Return the most relevant document chunks based on your query
* Enable context-aware information retrieval from your knowledge base

## How It Works

1. **Document Processing**:

   * Documents uploaded to Athina are automatically processed and chunked
   * Each chunk is converted into a vector embedding
   * The embeddings are stored in a Qdrant vector database

2. **Retrieval Process**:
   * Your input query is converted to a vector embedding
   * The system performs a semantic similarity search in Qdrant
   * The most relevant document chunks are returned based on similarity scores

## Configuration Options

| Parameter         | Description                                 | Default  |
| ----------------- | ------------------------------------------- | -------- |
| Query             | The search query to find relevant documents | Required |
| Knowledge Base    | The knowledge base to search                | Required |
| Number of Results | Maximum number of document chunks to return | 5        |