Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration

Unified framework for building enterprise RAG pipelines with small, specialized models

LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes implementing RAG, tool calling (including support for MCP), and agents easy. LangChain4j integrates seamlessly with various enterprise Java frameworks.

BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.

The easiest way to use Agentic RAG in any enterprise

China Unicom's Yuanjing Wanwu Agent Platform is an enterprise-grade, multi-tenant AI agent development platform. It helps users build applications such as intelligent agents, workflows, and rag, and also supports model management. The platform features a developer-friendly license, and we welcome all developers to build upon the platform.

Implementation of my RAG system that won all categories in Enterprise RAG Challenge 2

Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

LAYRA—an enterprise-ready, out-of-the-box solution—unlocks next-generation intelligent systems powered by visual RAG and limitless visual multi-step agent workflow orchestration.

DataMate is an enterprise-level data processing platform designed for model fine-tuning and RAG retrieval.

Enterprise RAG Challenge to test accuracy of different LLM-driven assistants

VeritasGraph: Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution

This RAG (Retrieval-Augmented Generation) project is implemented using pure Java. This approach makes it easier to adapt to enterprise-level environments and is more conducive to secondary development.

The AI Operating System for Delphi. 100% native framework with RAG 2.0 for knowledge retrieval, autonomous agents with semantic memory, visual workflow orchestration, and universal LLM connector. Supports OpenAI, Claude, Gemini, Ollama, and more. Enterprise-grade AI for Delphi 10.3+

Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces.

🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code support via MCP protocol. Ranked #1 in agent-based frameworks.

ADL (Agent Definition Language) is a vendor-neutral, declarative standard for defining AI agents, including their tools, LLM settings, RAG inputs, permissions, and dependencies. It brings consistency, governance, and portability to enterprise AI by providing a clear, machine-readable agent blueprint.

Client Code Examples, Use Cases and Benchmarks for Enterprise h2oGPTe RAG-Based GenAI Platform

Your SDK solves all of this. One interface. Unified logic. Local + hosted models. Fine-tuning. Agent tools. Enterprise-ready. Hybrid RAG.Star 🌟 if you like it!

On premise enterprise-grade RAG-powered agentic workflow chatbot platform with multi-provider support

Hybrid-RAG is a full-stack enterprise-grade RAG system for healthcare AI, featuring hybrid retrieval, multi-dimensional conflict detection, intelligent dialogue management, and dual-layer safety checks.

Intel® AI for Enterprise RAG converts enterprise data into actionable insights with excellent TCO. Utilizing Intel Gaudi AI accelerators and Intel Xeon processors ensuring streamlined deployment.

Implementation of my AI agent system for ERC 3: https://erc.timetoact-group.at

Sample agents for Enterprise RAG Challenge 3: AI Agents in Action

Enterprise RAG ecosystem managing 15,000+ semantic chunks. Features hybrid parsing (LlamaParse/PyMuPDF) and 256-dim MRL embeddings for 512MB RAM environments

🚀 100% local RAG system with one-command setup. Your data never leaves your server. AGPL-3.0

RAG template for enterprise or organization

A comprehensive collection of n8n automation templates featuring AI agents, RAG systems, and enterprise workflows. Includes integrations for Gmail, WhatsApp, Telegram, Slack, and more. Future-ready automation solutions for 2025.

Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers. Execute locally with LangGraph or distributed with Temporal. Built-in RAG pipeline for enterprise knowledge retrieval. A2A and MCP protocol support. Visual drag-and-drop blueprint builder.