# Build enterprise RAG and agent workflows with Bisheng

> Use Bisheng to assemble, evaluate, and publish enterprise RAG and agent workflows across internal data, models, and business users.

- Skill: `agentskillexchange/build-enterprise-rag-and-agent-workflows-with-bisheng` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/build-enterprise-rag-and-agent-workflows-with-bisheng`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/build-enterprise-rag-and-agent-workflows-with-bisheng/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/build-enterprise-rag-and-agent-workflows-with-bisheng

---


# Build enterprise RAG and agent workflows with Bisheng

Use Bisheng to assemble, evaluate, and publish enterprise RAG and agent workflows across internal data, models, and business users.

## Prerequisites

Bisheng, LLM provider credentials, enterprise data sources

## Installation

Use the upstream install or setup path that matches your environment:
- git clone https://github.com/dataelement/bisheng.git
- docker compose -f docker-compose.yml -p bisheng up -d

Requirements and caveats from upstream:
- <!-- <img src="https://img.shields.io/docker/pulls/bisheng-io/bisheng" alt="docker-pull-count" /> -->
- 🖐️ **User-friendly and intuitive**: Operations like loops, parallelism, and batch processing, which require specialized components in similar products, can be easily visualized in BISHENG as a "flowchart" (drawing a l...
- Docker 19.03.9+

Basic usage or getting-started notes:
- Please ensure the following conditions are met before installing BISHENG:
- CPU >= 4 Virtual Cores
- RAM >= 16 GB

- Source: https://github.com/dataelement/bisheng
- Extracted from upstream docs: https://raw.githubusercontent.com/dataelement/bisheng/HEAD/README.md

## Documentation

- https://github.com/dataelement/bisheng

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/build-enterprise-rag-and-agent-workflows-with-bisheng/)