Yuxi

A comprehensive single-package Retrieval-Augmented Generation platform built on Langflow, Docling, and OpenSearch, providing a complete pipeline from document parsing to vector retrieval and generation with multi-model and multi-vector-database support.

A low-code MCP framework for building complex and innovative RAG pipelines. Combines visual pipeline design with MCP protocol integration for end-to-end RAG — from data ingestion and chunking to retrieval and generation.

Opinionated RAG framework for integrating GenAI into your apps. Works with any LLM, any vectorstore, any files — so you can focus on your product instead of building RAG pipelines.

Run any open-source LLMs such as DeepSeek and Llama as OpenAI-compatible API endpoints in the cloud. Supports fine-tuning, quantization, and distributed inference for production-grade LLM deployment.