# Agent with Knowledge
URL: /docs/examples/agent-with-knowledge
Source: /app/src/content/docs/examples/agent-with-knowledge.mdx

import { DocImage } from '@/components/DocImage';

<DocImage title="Agent with Knowledge" />

Create agents with knowledge base capabilities for enhanced information retrieval.

## Quick Start

### Clone the Complete Example

The easiest way to get started is to clone the complete example repository:

```bash
git clone https://github.com/astreus-ai/agent-with-knowledge
cd agent-with-knowledge
npm install
```

### Or Install Package Only

If you prefer to build from scratch:

```bash
npm install @astreus-ai/astreus
```

## Environment Setup

```bash
# .env
# LLM API key
OPENAI_API_KEY=sk-your-openai-api-key-here

# Knowledge database (required for RAG)
KNOWLEDGE_DB_URL=postgresql://username:password@localhost:5432/knowledge_db

# Main database for agent persistence
DB_URL=sqlite://./astreus.db
```

## Knowledge Agent

```typescript
import { Agent } from '@astreus-ai/astreus';

// Create agent with knowledge enabled
const agent = await Agent.create({
  name: 'CosmosBot',
  model: 'gpt-4o',
  embeddingModel: 'text-embedding-3-small', // Specify embedding model directly
  knowledge: true,
  systemPrompt: 'You can search and retrieve information from scientific knowledge bases about the cosmos and universe.'
});

// Add knowledge from scientific book about the sun and cosmos
await agent.addKnowledgeFromFile(
  './data/The Sun\'s Light and Heat.pdf',
  { category: 'solar-physics', version: '1.0' }
);

// Agent automatically uses knowledge in conversations
const response = await agent.ask("What is Correction for Atmospheric Absorption? Explain.");
console.log(response); // Uses knowledge base automatically
```

## Running the Example

If you cloned the repository:

```bash
npm run dev
```

## Repository

The complete example is available on GitHub: [astreus-ai/agent-with-knowledge](https://github.com/astreus-ai/agent-with-knowledge)