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3 个仓库

Awesome GitHub RepositoriesAsynchronous Processing

Offloads intensive document ingestion and processing tasks to background workers to maintain system responsiveness.

Distinct from High-Performance Ingestion: Distinct from High-Performance Ingestion: focuses on the asynchronous execution pattern for background tasks rather than the throughput of the ingestion pipeline itself.

Explore 3 awesome GitHub repositories matching data & databases · Asynchronous Processing. Refine with filters or upvote what's useful.

Awesome Asynchronous Processing GitHub Repositories

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  • chonkie-inc/chonkiechonkie-inc 的头像

    chonkie-inc/chonkie

    4,170在 GitHub 上查看↗

    Chonkie 是一个专为检索增强生成 (RAG) 流水线设计的文本分块库。它充当语义文本分割器和 RAG 数据摄取流水线,将原始文本转换为嵌入片段,以便存储在向量数据库中。 该项目通过专门的分割策略脱颖而出,包括用于保留源代码逻辑边界的基于 AST 的代码分割器,以及使用嵌入模型根据语义确定边界的语义文本分割器。它还提供了一个向量数据库摄取器,用于自动化生成嵌入并将其导出到各种存储中。 该库涵盖了广泛的功能,包括通过 OCR 和 Markdown 提取进行文档解析,多种分割方法(如基于 Token 计数和分层分割),以及通过可重用流水线进行工作流编排。它支持多种向量存储集成,包括 Qdrant、Milvus、Weaviate 和 Elasticsearch,以及将数据导出为 JSON 和 Hugging Face 数据集。 用户可以通过命令行界面执行这些操作,或将系统部署为容器化的 API 服务。

    Utilizes non-blocking asynchronous calls to handle high-throughput text ingestion and concurrent API requests.

    Pythonaichonkiechunker
    在 GitHub 上查看↗4,170
  • rag-web-ui/rag-web-uirag-web-ui 的头像

    rag-web-ui/rag-web-ui

    3,048在 GitHub 上查看↗

    This project is a web-based platform designed for retrieval-augmented generation, providing a conversational interface that connects language models to private document collections. It functions as a comprehensive system for managing enterprise knowledge bases, allowing users to query internal documents and receive context-aware, source-verified answers through a natural language chat interface. The platform distinguishes itself by integrating vector-based semantic search with modular knowledge base management, enabling the ingestion, segmentation, and indexing of documents into searchable em

    Offloads document processing to asynchronous background workers to keep the interface responsive during intensive data operations.

    TypeScriptaideepseeklangchain
    在 GitHub 上查看↗3,048
  • watat83/document-chat-systemwatat83 的头像

    watat83/document-chat-system

    145在 GitHub 上查看↗

    This platform is a self-hosted knowledge management system designed for interacting with documents through natural language. It functions as a retrieval-augmented generation engine, allowing users to upload files and query them using large language models. The system provides a unified interface for document-based chat, ensuring that responses are grounded in the source material through specific citations. The platform distinguishes itself through a multi-tenant architecture that enforces strict data isolation between users and organizations. It features a flexible AI gateway that standardize

    Offloads intensive document ingestion and processing tasks to background workers to maintain system responsiveness.

    TypeScriptchatbotdocument-managementdocument-processing
    在 GitHub 上查看↗145
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