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Haystack by deepset

An open-source framework for building with LLMs.

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Overview

Haystack is an open-source NLP framework that enables developers to build production-ready, large-scale, and customizable applications with Large Language Models (LLMs). It provides a modular and flexible architecture for creating pipelines that can include various components, such as retrievers, readers, and generators. Haystack is particularly well-suited for building question-answering systems and other applications that require information retrieval.

✨ Key Features

  • Open-source Python framework
  • Modular and flexible pipeline architecture
  • Components for retrieval, reading, and generation
  • Integrations with various LLMs, vector databases, and document stores
  • Tools for evaluation and optimization of NLP pipelines

🎯 Key Differentiators

  • Strong focus on production-ready and scalable NLP pipelines
  • Modular architecture with a wide range of components

Unique Value: Enables developers to build and deploy robust and scalable NLP applications by providing a flexible and powerful open-source framework.

🎯 Use Cases (4)

Building question-answering systems Document search and information retrieval Developing conversational AI and chatbots Automating content generation and summarization

πŸ† Alternatives

LangChain LlamaIndex

Offers a more production-oriented and modular approach to building NLP pipelines compared to some other frameworks.

πŸ’» Platforms

Python

πŸ”Œ Integrations

OpenAI Hugging Face Elasticsearch Pinecone Weaviate

πŸ›Ÿ Support Options

  • βœ“ Email Support
  • βœ“ Dedicated Support (Enterprise tier)

πŸ”’ Compliance & Security

βœ“ GDPR βœ“ SSO

πŸ’° Pricing

Contact for pricing
Free Tier Available

Free tier: Open-source and free to use

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