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

# Knowledge

> **Knowledge Base:** is information that the Agent can search to improve its responses. This directory contains a series of cookbooks that demonstrate how to build a knowledge base.

| Example                                                           | Description                                                                                                                                                                           |
| ----------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [Chunking](/examples/knowledge/chunking/overview)                 | Chunking breaks down large documents into manageable pieces for efficient knowledge retrieval and processing in databases.                                                            |
| [Embedders](/examples/knowledge/embedders/overview)               | Embedders convert text into vector representations for semantic search and knowledge retrieval. Agno supports multiple embedding providers to fit different deployment needs.         |
| [Filters](/examples/knowledge/filters/overview)                   | Filters help you selectively retrieve and process knowledge based on metadata, content patterns, or custom criteria for targeted information retrieval.                               |
| [Readers](/examples/knowledge/readers/overview)                   | Readers transform raw data into structured, searchable knowledge for your agents. Agno supports multiple document types and data sources.                                             |
| [Search Type](/examples/knowledge/search-type/overview)           | Search strategies determine how your agents find relevant information in knowledge bases using different algorithms and approaches.                                                   |
| [Vector Db](/examples/knowledge/vector-db/overview)               | Vector databases store embeddings and enable similarity search for knowledge retrieval. Agno supports multiple vector database implementations to fit different deployment needs - f. |
| [Knowledge Tools](/examples/knowledge/knowledge-tools)            | 1. Run: `uv pip install openai agno lancedb tantivy sqlalchemy` to install the dependencies.                                                                                          |
| [Quickstart](/examples/knowledge/quickstart)                      | Run Quickstart.                                                                                                                                                                       |
| [Quickstart](/examples/knowledge/quickstart)                      | Run Quickstart.                                                                                                                                                                       |
| [Cloud](/examples/knowledge/cloud/overview)                       | This directory contains Agno knowledge cookbook examples for cloud.                                                                                                                   |
| [Custom Retriever](/examples/knowledge/custom-retriever/overview) | Custom retrievers provide complete control over how your agents find and process information from knowledge sources.                                                                  |
| [Os](/examples/knowledge/os/overview)                             | Examples for Os.                                                                                                                                                                      |
| [Protocol](/examples/knowledge/protocol/overview)                 | This directory contains Agno knowledge cookbook examples for protocol.                                                                                                                |