infiniflow/ragflow
RAGFlow is an open-source Retrieval-Augmented Generation engine that leverages deep document understanding and Large Language Models to provide accurate, citation-backed question-answering from complex and diverse data sources.
Awesome AI Agents › NL AI Frameworks
RealAlexandreAI/json-repair
json-repair is a specialized tool designed to address and fix JSON anomalies commonly produced by Large Language Models (LLMs). It serves as a comprehensive solution for developers who encounter malformed or broken JSON data, which can disrupt workflows and data processing. The project is implemented with a focus on compatibility with the Go programming language, ensuring seamless integration for Go developers. One of its key strengths is its zero-dependency design, which keeps the tool lightweight and easy to maintain. json-repair offers robust functionality to automatically detect and repair a wide variety of JSON errors, including syntax mistakes, structural issues, improper quotes, unclosed arrays or objects, incorrect key-value pairs, and even JSON strings with comments or mixed quotes. The tool is equipped with a rich set of test cases to guarantee reliability and accuracy in its repairs. It also supports usage through a command-line interface (CLI), allowing users to repair JSON strings directly in the terminal and chain commands using pipes, which enhances its utility in scripting and automation contexts. The project is open source, encouraging community contributions and ongoing improvements. It provides an online playground for users to experiment with JSON repair functionality and detailed documentation with usage examples. The roadmap includes plans to support full-width character detection and other enhancements. Overall, json-repair is a practical and efficient utility for anyone dealing with JSON data generated by LLMs or other sources that may produce imperfect JSON, helping to ensure data integrity and smooth processing.
https://github.com/RealAlexandreAI/json-repair
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