System Level Intelligent Router for Mixture-of-Models at Cloud, Data Center and Edge
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Updated
May 18, 2026 - Go
System Level Intelligent Router for Mixture-of-Models at Cloud, Data Center and Edge
LLM Semantic Router: Intelligent Mixture-of-Models (MoM) System with Privacy Preservation and Prompt Guard. The semantic router intelligently directs OpenAI compliant API requests to the most suitable backend models based on semantic understanding of request content.
AI coding assistant rule manager for Claude Code, Cursor, and Codex. Load only the rules you need.
Explore the integration of semantic routing with graph-based configurations using Semantic Router and LangGraph. This project demonstrates advanced routing techniques for applications in chatbots, text classification, and NLP, providing a robust framework for developers.
Universal Agent Skill Router — Route agent skills before LLM inference. Zero-config skill fingerprinting, conflict-aware routing, and self-learning feedback loop. Supports OpenClaw, Claude Code, LangChain, and more.
Semantic-Router-C-Sharp is a superfast decision-making layer for your LLMs (Large Language Models) and agents in C#. Instead of relying on slow LLM generations to make tool-use decisions, this router uses the power of semantic vector space to make fast decisions by routing requests based on semantic meaning.
Smart LLM routing — classifies queries by complexity and routes to the right model. Exposes cost and latency telemetry.
Letitbe Router: semantic routing plus adaptive limit-aware scheduling for AI agents and models
FastAPI-based multi-agent orchestrator for Odoo. Uses a Semantic Router to dispatch intents to specialized agents via Model Context Protocol (MCP/FastMCP). Features Guardrails AI for hallucination prevention, Human-in-the-Loop validation, Logfire observability and support for Groq, Ollama and vLLM.
Intelligent e-commerce chatbot with semantic routing, vector-based FAQ retrieval, and natural language product search powered by Groq LLM and ChromaDB.
ShoppingGPT is a production-ready, agentic AI chatbot for e-commerce. It routes every conversation through a semantic classifier, dispatches to specialized LangChain tools, and streams back intelligent responses — all in under a second.
This project is an intelligent Flipkart Shopping Assistant built using a Retrieval-Augmented Generation (RAG) architecture. It utilizes Llama 3.3 (via Groq) and Semantic Routing to provide a seamless conversational experience, switching between a policy knowledge base and a live product database.
EcomBot is an AI-powered e-commerce chatbot built using Llama 3.3, Groq, and RAG architecture. It provides intelligent customer support and real-time product search using natural language queries.
FastAPI RAG backend with Semantic Router, FAISS + BM25 hybrid retrieval, DashScope reranker, Query Rewrite and SQLite chat history.
Identify and protect personal data in text by intercepting and masking PII using Java middleware for enhanced data privacy compliance.
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