Haystack
AIOpen-source framework for LLM-powered retrieval apps
Overview
Haystack is an open-source framework for building scalable, production-ready LLM applications like retrieval-augmented generation (RAG), question answering, and document search. It offers modular pipelines with reusable nodes for indexing, retrieval, and LLM inference, integrating with popular LLMs (GPT-4, Llama 2) and vector databases (Pinecone, Elasticsearch). Ideal for developers and AI teams, it simplifies transitioning from prototype to production with flexible, extensible tools.
Key Features
- Modular pipeline architecture for custom LLM app design
- Built-in support for RAG and question answering tasks
- Integration with top LLMs and vector databases
- Open-source with production-ready scalability tools
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Tool Info
Pros
- ⊕ Modular, extensible design for tailored pipelines
- ⊕ Strong focus on RAG and production readiness
Cons
- ⊖ Steeper learning curve for LLM pipeline beginners
- ⊖ Requires manual setup for complex use cases