Showing 4 open source projects for "data quality cleansing"

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  • 1
    CocoIndex

    CocoIndex

    ETL framework to index data for AI, such as RAG

    ...It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search data, distinguishing itself from closed, black-box systems. The tool is suitable for developers working on personal knowledge bases, AI search interfaces, or private LLM applications.
    Downloads: 5 This Week
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  • 2
    kg-gen

    kg-gen

    Knowledge Graph Generation from Any Text

    kg-gen is an open-source framework developed by the STAIR Lab that automatically generates knowledge graphs from unstructured text using large language models. The system is designed to transform plain text sources such as documents, articles, or conversation transcripts into structured graphs composed of entities and relationships. Instead of relying on traditional rule-based extraction techniques, KG-Gen uses language models to identify entities and their relationships, producing...
    Downloads: 1 This Week
    Last Update:
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  • 3
    rag-search

    rag-search

    RAG Search API

    ...It is built to be easily deployable, requiring only environment configuration and dependency installation to run a functional RAG service. The system supports configurable filtering, scoring thresholds, and reranking options, allowing developers to fine-tune retrieval quality. Its architecture is modular, separating handlers, services, and utilities to support customization and extension. Overall, rag-search serves as a practical starter backend for teams building AI search or question-answering applications on their own data.
    Downloads: 0 This Week
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  • 4

    askaitools-community-edition

    A cutting-edge search engine project tailored specifically for AI apps

    Our mission is to revolutionize the way users discover AI products by providing the most accurate, comprehensive, lightning-fast, and intelligent search experience. Developers can effortlessly integrate their own data on top of this framework, enabling them to swiftly build specialized vertical search engines or internal document search systems for their organizations. Under the hood, AskAITools employs a hybrid search engine architecture, seamlessly combining keyword search...
    Downloads: 0 This Week
    Last Update:
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