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3 Repos

Awesome GitHub RepositoriesParallel Tool Execution

Capabilities for invoking multiple functions or extraction tasks in a single model request to improve efficiency.

Distinguishing note: None of the candidates relate to LLM tool calling; this is specific to AI agentic workflows.

Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Parallel Tool Execution. Refine with filters or upvote what's useful.

Awesome Parallel Tool Execution GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • ruvnet/rufloAvatar von ruvnet

    ruvnet/ruflo

    61,524Auf GitHub ansehen↗

    Ruflo is an AI agent orchestration platform and workflow automation tool designed to decompose high-level goals into executable action plans. It functions as a manager for multi-agent swarms, organizing autonomous entities into collaborative topologies that utilize shared consensus to complete complex tasks. The framework distinguishes itself through a retrieval-augmented generation layer and knowledge graphs for reasoning over linked data. It incorporates a trajectory-based learning loop that analyzes previous execution paths to refine cognitive patterns and improve future reasoning accuracy

    Enables the concurrent invocation of multiple functions or tool calls in a single model request to accelerate workflows.

    TypeScript
    Auf GitHub ansehen↗61,524
  • openai/chatgpt-retrieval-pluginAvatar von openai

    openai/chatgpt-retrieval-plugin

    21,192Auf GitHub ansehen↗

    This project is a retrieval-augmented generation pipeline designed for building custom ChatGPT plugins that allow language models to query private or professional documents. It implements a full retrieval workflow, from processing and indexing document chunks to retrieving relevant context for natural language queries. The system distinguishes itself through a hybrid retrieval approach that combines dense vector embeddings with sparse keyword matching, further refined by a two-stage semantic re-ranking process. It includes specialized data privacy tools for screening personally identifiable i

    Enables executing multiple data operations simultaneously within a single request to improve system efficiency.

    Pythonchatgptchatgpt-plugins
    Auf GitHub ansehen↗21,192
  • 567-labs/instructorAvatar von 567-labs

    567-labs/instructor

    13,176Auf GitHub ansehen↗

    Instructor is a framework designed for structured data extraction, validation, and language model integration. It functions as a library that transforms unstructured text into validated, type-safe objects by leveraging schema definitions and model-specific tool-calling capabilities. By acting as a validation middleware, the project ensures that language model outputs strictly conform to defined data structures. The library distinguishes itself through a robust validation-based retry loop that automatically re-submits failed responses with error feedback to iteratively correct schema complianc

    Invoke several functions in a single request to reduce latency by processing multiple structured data extraction tasks simultaneously.

    Pythonopenaiopenai-function-calliopenai-functions
    Auf GitHub ansehen↗13,176
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