A modular voice AI platform based on LiveKit and OpenAI Realtime API, integrating RAG knowledge retrieval, JWT authentication, and MongoDB persistence for real-time outbound calling and domain-specific conversations.
An AI-powered assistant service stack built on FastAPI, integrating multiple LLM providers (OpenAI, Azure, VertexAI, WatsonX, vLLM) via Llama Stack, with support for MCP tool calling, RAG configuration, streaming queries, and enterprise Kubernetes deployment.
A complete enterprise-grade MCP (Model Context Protocol) platform featuring server hosting, a unified registry, a secure gateway, and a chat client with built-in RAG, supporting both Docker and Kubernetes deployments.
Open-source platform for testing LLM and agentic apps with AI-powered test generation, adversarial red-teaming, and 60+ evaluation metrics for RAG hallucination detection and conversation consistency verification.
A tutorial project for an AI Love Master app and ReAct autonomous agent built on Spring Boot 3 and Java 21, featuring Spring AI, RAG, Tool Calling, and MCP practices.
Enterprise-grade RAG Agent platform built on Java 17 + Spring Boot 3 + React 18, featuring multi-channel retrieval, intent recognition, conversation memory, model fault tolerance, and MCP tool integration.
An open-source Go-based application engine integrating autonomous agent framework, GraphRAG knowledge retrieval, and full-stack runtime in a single binary for building web apps, REST APIs, and edge intelligence services.
CLI tool that transforms Git repositories into prompt-friendly text digests for LLMs, featuring web access, browser extensions, Python SDK, and private repo support.
A Pokémon-themed intelligent chat assistant powered by LangGraph multi-agent orchestration and GraphRAG technologies. Integrates Neo4j knowledge graph, Milvus vector search, and multi-source hybrid retrieval for precise Q&A with complex relationship reasoning. Also serves as a transferable template for domain-specific knowledge systems.
A learnable, configurable, and pluggable Omni-Avatar Assistant framework built on LiveKit, featuring real-time interaction, multimodal memory, user persona, and external tool integration.
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