This project is a LangChain-based framework for building retrieval-augmented generation systems, autonomous agents, and multimodal chatbots. It functions as an open-source orchestrator that connects local inference engines and online APIs to manage various large language model deployments.
The system distinguishes itself by providing specialized interfaces for local knowledge bases, allowing the loading and vectorization of private documents to create context-aware assistants. It also supports multimodal capabilities, enabling the processing of both text and image inputs through vision-capable models.
The platform covers a broad range of capabilities, including autonomous agent orchestration with tool-calling loops, vector-database embedding for semantic search, and the integration of external data querying from search engines and databases. It includes a web-based user interface for managing conversations and configuring system prompts.
