Event-driven desktop AI agent: YAML scenarios, plugin system with UI contributions, local RAG (BGE-M3 + Qdrant), LLM routing. Electron + React + Python.

LLM API Server , OpenAI 同时支持 ChatGLM3 ，Llama, Llama-3, Firefunction, Openfunctions ，BAAI/bge-m3 ,bge-large-zh-v1.5

Optimised BAAI/bge-m3 serving with dense + sparse + ColBERT embeddings, async dynamic batching and pipeline GPU inference

Complete Workspace Template for OpenClaw - Full agent lifecycle with unified memory system (Markdown + SQLite), self-evolution, RAG. Not for SubAgent/Skill use.

Example application for using the BGE-M3 embedding model and Google's Gemma-2-9B-Instruct generation model in a LangChain-based RAG pipeline to answer Lord of the Rings trivia questions

Selective web content extraction for AI agents — URL + query returns only the chunks that matter (Python library + MCP server)

Semantic media search with Qwen2.5-VL + bge-m3 embeddings and pgvector

RAG for researchers: page-level citations from your personal library, LLM access via MCP. Ask your entire archive, get answers with the intelligence of leading AI.

Sovereign RAG demo for SEC 10-K filings: semantic chunking, hybrid (dense BAAI/bge-m3 + sparse Splade) search in Qdrant, BAAI/bge-reranker-v2-m3 cross-encoder rerank, gpt-oss:20b synthesis. Air-gapped capable.

🚀 企业级私有化 RAG 知识库系统 | 💯 纯离线部署、无需联网 | 🔐 支持 LDAP/AD 统一认证与 RBAC 部门级权限隔离 | ⚡️ 基于 LlamaIndex + Ollama + BGE-M3/Rerank | 📝 支持多格式文档解析、上下文对话记忆及精准的 PDF 原文溯源高亮 | 📊 内置数据可视化仪表盘（🚀 Enterprise RAG Knowledge Base. 💯 Fully offline/air-gapped deployment. 🔐 Features LDAP/AD integration, RBAC & Department Isolation. ⚡️ Powered by LlamaIndex, Ollama, and Local R

Korean policy briefing MCP server with Markdown corpus, semantic search, and public MCP tools

Standalone RAG backend: hybrid search (pgvector + ParadeDB BM25 + LightRAG graph) with cross-encoder rerank and GLiNER NER fast-mode. FastAPI on :5050, Memgraph, BGE-M3. Bind-mount persistence (no named volumes). One docker compose up.

This is a high-performance, FastAPI-based microservice and WebSocket worker dedicated to generating text embeddings using the state-of-the-art BAAI/bge-m3 model.

Asistente RAG que ingiere la carpeta de proyectos local, construye un índice en ChromaDB con embeddings avanzados BGE‑M3 y responde preguntas a través de un LLM DeepSeek.

Train a pooling Head for Dense Embeddings

Multimodal RAG system for financial report analysis using Claude Vision, BGE-M3, OpenSearch hybrid search · Built for Sonatel's Finance & HR division · 84.4% RAGAS score

A modular AI-powered TTS and STT orchestrator with a high-performance Go-Python core and real-time interactive UI.

Agentic RAG system with LangGraph, hybrid BM25+FAISS retrieval, cross-encoder reranking, Corrective RAG, FastAPI, RAGAs evaluation, and Docker deployment

A state-space quality gate layer for AI agent workflows, combining static checks, semantic judgment space, drift detection, and human oversight. / AIエージェントワークフロー向けの状態空間品質ゲート層。静的チェックと意味的判断空間、ドリフト検出、人間による監督を統合。