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#python #agent #agents #ai_search #chatbot #chatgpt #data_pipelines #deep_learning #document_parser #document_understanding #genai #graph #graphrag #llm #nlp #pdf_to_text #preprocessing #rag #retrieval_augmented_generation #table_structure_recognition #text2sql

RAGFlow is an open-source tool that helps businesses answer questions accurately using large language models and deep document understanding. It extracts information from various complex data formats, such as Word documents, Excel files, and web pages, and provides grounded citations to support its answers. You can try a demo online or set it up on your own server using Docker. The setup is relatively straightforward, requiring a few steps like cloning the repository, building the Docker image, and configuring the system settings. RAGFlow offers key features like template-based chunking, reduced hallucinations, and compatibility with multiple data sources, making it a powerful tool for truthful question-answering capabilities. This benefits users by providing reliable and explainable answers, streamlining their workflow, and supporting integration with their business systems.

https://github.com/infiniflow/ragflow
#typescript #drizzle_orm #nextjs #open_source #shadcn_ui #table #tanstack_table

This tool helps you create a table with advanced features like server-side sorting, filtering, and pagination. It uses popular technologies such as Next.js, Tailwind CSS, and TanStack/react-table. You can customize the columns, add dynamic search filters, and even include advanced filtering options. To use it, you need to clone the repository, install dependencies, and configure your environment variables. Although it's still in development and not ready for production, it offers powerful features that can enhance your data management capabilities. However, be cautious as it uses new technologies that might change or break your application.

https://github.com/sadmann7/shadcn-table