logo_haystack
Haystack
Deepset
An open-source NLP framework for building search platforms and conversational Artificial Intelligence.
Open Source
Free Model

(5.0) 0 reviews

Open Source
Free Model
About Haystack

Haystack is an open-source NLP framework developed by Deepset, designed for creating sophisticated search platforms and conversational Artificial Intelligence applications. It enables developers to build powerful, end-to-end search pipelines that can handle large-scale, complex queries with high accuracy. Haystack leverages state-of-the-art transformer models, supports various backends, and is highly customizable, making it ideal for enterprise-level search and Q&A platforms. It also includes features for document retrieval, question answering, and semantic search.

AI Categories
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Research Assistants
AI tools that assist with research by gathering and analyzing data.
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Productivity
AI tools designed to boost efficiency in both personal and professional settings.
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Large Language Models (LLMs)
AI tools built on advanced natural language processing models.
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AI Framework
Essential structures and tools that support the creation and deployment of AI models.
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AI Agents
Self-governing AI systems designed to autonomously plan, coordinate, and perform complex tasks.
Key Features
Transformer Models
End-to-End Search Pipelines
Document Retrieval
Question Answering
Semantic Search
Customizable Backends.
Use Case
settings
Task Automation
Boost productivity with AI automating repetitive tasks.
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Research and Analysis
Analyze and process data for actionable insights with AI tools.
retrieval
Information Retrieval
Quickly locate relevant data with AI information retrieval systems.
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Document Analysis
AI extracting data from documents for automation.
Reviews
No review was found
Integration Methods
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REST API
Standard integration using REST APIs for direct access to data.
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Python SDK
AI development tools as a Python SDK for streamlined implementation.
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Jupyter Notebook
Integrate AI tools with Jupyter Notebook to streamline data workflows.
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Docker Container
Containerized integration with Docker for scalable deployment.
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Command Line Tool
CLI integration for terminal-based AI interactions.
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