Haystack - AI Agent Frameworks Tool

Overview

Haystack is an open-source LLM orchestration framework by deepset-ai for building production-ready applications. It enables developers to create RAG, question answering, semantic search, and conversational agents by connecting models, vector databases, file converters, and other components into customizable pipelines.

Key Features

• Open-source LLM orchestration framework by deepset-ai
• Build retrieval-augmented generation (RAG) applications
• Create question answering systems and conversational agents
• Enable semantic search across document collections
• Connect models, vector databases, and file converters
• Compose customizable, production-ready pipelines
• Support integration of third-party components and custom modules

Ideal Use Cases

• Implement retrieval-augmented generation combining retrieval and LLM responses
• Deploy document question-answering systems
• Build enterprise semantic search over large document sets
• Create conversational agents with integrated knowledge sources
• Integrate custom models and vector stores into pipelines

Getting Started

• Visit the GitHub repository and read the README and docs
• Install project dependencies as documented in the repository
• Connect your LLMs, vector databases, and file converters
• Assemble components into a customizable pipeline
• Run example pipelines and test with your data
• Adapt pipelines and deploy for production use

Pricing

No pricing disclosed. Haystack is open-source; any costs depend on infrastructure and third-party services used.

Limitations

• Not a hosted SaaS; requires developer setup and infrastructure
• Requires integration of external models and vector stores
• May require engineering expertise to configure and optimize pipelines

Key Information

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