Retrieval - PraisonAI

Agents can search and retrieve relevant information from your documents.

Quick Start

Simple Usage

import { Agent } from 'praisonai';

const agent = new Agent({
  instructions: 'Answer questions using the provided documents',
  knowledge: './docs/'  // Folder of documents
});

await agent.chat('What is the return policy?');
// Agent searches docs and answers accurately

With Configuration

const agent = new Agent({
  knowledge: {
    path: './docs/',
    strategy: 'semantic',  // or 'keyword', 'hybrid'
    topK: 5
  }
});

User Interaction Flow

Configuration Levels

// Level 1: String - Path to documents
const agent = new Agent({
  knowledge: './docs/'
});

// Level 2: Array - Multiple sources
const agent = new Agent({
  knowledge: ['./policies/', './faq/', './guides/']
});

// Level 3: Dict - Full options
const agent = new Agent({
  knowledge: {
    path: './docs/',
    strategy: 'hybrid',
    topK: 10,
    minScore: 0.7,
    chunkSize: 500
  }
});

Retrieval Strategies

Strategy	Best For
`keyword`	Exact term matching
`semantic`	Meaning-based search
`hybrid`	Combines both approaches

API Reference

KnowledgeConfig

Complete configuration options

RAG

RAG class documentation

Best Practices

Use semantic for complex questions

Semantic search finds related content even without exact keywords.

Keep documents focused

Smaller, topic-specific documents retrieve better.

Set minimum score

Filter out low-relevance results with minScore.

Knowledge

Knowledge base

RAG

Retrieval augmented generation

​Quick Start

​User Interaction Flow

​Configuration Levels

​Retrieval Strategies

​API Reference