Haystack - AI Agent Frameworks Tool

Overview

Haystack is an open-source LLM orchestration framework by deepset-ai that enables developers to build production-ready applications such as RAG, question answering, semantic search, and conversational agents. It connects models, vector databases, file converters, and other components into customizable pipelines for retrieval-augmented generation and search.

Key Features

• Open-source LLM orchestration framework
• Build retrieval-augmented generation (RAG) pipelines
• Supports question answering and conversational agents
• Connects models, vector databases, and file converters
• Customizable, production-ready pipeline composition
• Extensible components for search and retrieval
• Integrates with multiple models and vector stores

Ideal Use Cases

• Document question answering systems
• Semantic search over corporate knowledge bases
• Retrieval-augmented generation applications
• Conversational agents with grounded responses
• Orchestrating ingestion and preprocessing pipelines
• Proof-of-concept to production pipeline development

Getting Started

• Clone the Haystack repository from deepset-ai on GitHub
• Install Python dependencies per repository README
• Configure model endpoints and vector database connections
• Add file converters and ingest documents
• Compose and run a customizable pipeline
• Test with sample queries and evaluate results
• Deploy or containerize for your production environment

Pricing

Open-source project; no official pricing disclosed.

Key Information

• Category: Agent Frameworks
• Type: AI Agent Frameworks Tool