中文优先的企业 RAG 知识库：可控解析、治理、切块、混合检索、重排、引用、GraphRAG、评测与 Dify 接入。
Enterprise RAG application on Azure with Azure AI hybrid search (vector + semantic + BM25), NDJSON streaming, MSAL SSO, and Fluent UI 9. Features document ingestion pipeline, project isolation, citation attribution, and multi-service architecture (FastAPI + Azure Functions + React).
Developer acceleration layer for enterprise RAG + agent pipelines. 32 production-style flagships on LangChain, LangGraph, CrewAI, Temporal, OpenAI Agents SDK, pydantic-ai. Permission-aware retrieval, chunk-level citations, schema-enforced output. Built on Model Context Protocol (MCP).
AegisRAG is a security-first, auditable enterprise RAG backend for teams that care more about access control,traceability, and governance than drag-and-drop workflow building.
Comparative study evaluating performances of Milvus Vector-based RAG vs Neo4j Graph-based RAG systems for Enterprise Knowledge Retrieval
Production Metadata-Aware Cross-Lingual RAG for Dubai Real Estate | n8n + Gemini 2.5 + Supabase pgvector | AR/EN | Day 5 of 30-Day Sprint
Microsoft Word add-in for Knowledge Stack — chat, edit, review, summarize, format, and extract data from Word documents with permission-scoped retrieval and chunk-level citations. React + TypeScript + Fluent UI + Office.js.
Open-source retrieval diagnostics toolkit for enterprise RAG pipelines
MCP server exposing Knowledge Stack tools (search, list, read, …) to any agent framework. Built on Model Context Protocol.
Secure Enterprise RAG platform with RBAC enforcement, OWASP LLM defenses, hybrid retrieval, grounded generation, explainability, and zero-trust context pipelines.
Production RAG API for Dubai Real Estate - Cross-lingual (EN → AR MSA + Dubai dialect) + Enterprise Observability - n8n 2.33.4 + Gemini 2.5 Flash + Supabase pgvector - 4.4s latency, 0.822 similarity
Enterprise-grade RAG reference: RBAC-aware retrieval, citation-numbered prompts, audit log, offline eval. Runs on Ollama, swaps to OpenAI with one env var.
Knowledge Stack developer docs (Mintlify). Guides, concept docs, API reference, and auto-synced SDK docs from ks-sdk-python and ks-sdk-ts. Deployed to docs.knowledgestack.ai.
Knowledge Stack Python SDK (ksapi) — auto-generated from the OpenAPI spec. For most agent use cases, use the MCP server (ks-mcp); this SDK is for admin/write operations and infrastructure tooling.
Knowledge Stack TypeScript/JavaScript SDK (@knowledge-stack/ksapi) — auto-generated from the OpenAPI spec. For most agent use cases, use the MCP server (ks-mcp); this SDK is for admin/write operations and infrastructure tooling.
Production-grade Enterprise Multi-Modal RAG system using Gemini, Qdrant, PaddleOCR, BM25, and FastAPI.
Enterprise Knowledge Agent（企业知识智能体）：基于 RAG（检索增强生成）、LangGraph（智能体编排）、DeepSeek（大语言模型）、Elasticsearch（全文检索）和 pgvector（向量检索）的企业知识问答系统，支持文档上传、混合检索、精排序、证据校验、图表回答与执行路径。
Enterprise RAG architecture for a secure, citation-first Tax Authority assistant with RBAC, hybrid retrieval, and CRAG.
Enterprise-grade RAG system for OSFI regulatory documents, combining governed LLM Q&A, audit logging, and compliance-aware AI for Canadian financial institutions.
Multi-source RAG with hybrid BM25+dense retrieval (RRF fusion), principal-based ACL filtering, and time-decay recency reranking
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