Showing 8 open source projects for "data processing"

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  • 1
    DeerFlow

    DeerFlow

    Deep Research framework, combining language models with tools

    DeerFlow is an open-source, community-driven “deep research” framework / multi-agent orchestration platform developed by ByteDance. It aims to combine the reasoning power of large language models (LLMs) with automated tool-use — such as web search, web crawling, Python execution, and data processing — to enable complex, end-to-end research workflows. Instead of a monolithic AI assistant, DeerFlow defines multiple specialized agents (e.g. “planner,” “searcher,” “coder,” “report generator”) that collaborate in a structured workflow, allowing tasks like literature reviews, data gathering, data analysis, code execution, and final report generation to be largely automated. ...
    Downloads: 71 This Week
    Last Update:
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  • 2
    BambooAI

    BambooAI

    A Python library powered by Language Models (LLMs)

    BambooAI is a Python library powered by large language models (LLMs) for conversational data discovery and analysis, allowing users to interact with data through natural language.
    Downloads: 3 This Week
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  • 3
    airda

    airda

    airda(Air Data Agent

    airda(Air Data Agent) is a multi-smart body for data analysis, capable of understanding data development and data analysis needs, understanding data, generating data-oriented queries, data visualization, machine learning and other tasks of SQL and Python codes.
    Downloads: 2 This Week
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  • 4
    Haystack

    Haystack

    Haystack is an open source NLP framework to interact with your data

    Apply the latest NLP technology to your own data with the use of Haystack's pipeline architecture. Implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications. Evaluate components and fine-tune models. Ask questions in natural language and find granular answers in your documents using the latest QA models with the help of Haystack pipelines. Perform semantic search and retrieve ranked documents according to meaning,...
    Downloads: 14 This Week
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  • 5
    Browser Use

    Browser Use

    Make websites accessible for AI agents

    Browser-Use is a framework that makes websites accessible for AI agents, enabling automated interactions and data extraction from web pages.
    Downloads: 9 This Week
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  • 6
    Langchainrb

    Langchainrb

    Build LLM-powered applications in Ruby

    LangchainRB is a Ruby implementation of LangChain, allowing developers to build AI-driven applications using large language models (LLMs) and knowledge graphs.
    Downloads: 4 This Week
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  • 7
    OpenAdapt

    OpenAdapt

    Open Source Generative Process Automation

    OpenAdapt is the open source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). OpenAdapt learns to automate your desktop and web workflows by observing your demonstrations. Spend less time on repetitive tasks and more on work that truly matters. Boost team productivity in HR operations. Automate candidate sourcing using LinkedIn Recruiter, LinkedIn Talent Solutions, GetProspect, Reply.io, outreach.io, Gmail/Outlook, and...
    Downloads: 8 This Week
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  • 8
    Semantic Router

    Semantic Router

    Superfast AI decision making and processing of multi-modal data

    Semantic Router is a superfast decision-making layer for your LLMs and agents. Rather than waiting for slow, unreliable LLM generations to make tool-use or safety decisions, we use the magic of semantic vector space — routing our requests using semantic meaning. Combining LLMs with deterministic rules means we can be confident that our AI systems behave as intended. Cramming agent tools into the limited context window is expensive, slow, and fundamentally limited. Semantic Router enables...
    Downloads: 5 This Week
    Last Update:
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