Build Enterprise Rag And Agent Workflows With Bisheng

---
name: "Build enterprise RAG and agent workflows with Bisheng"
slug: "build-enterprise-rag-and-agent-workflows-with-bisheng"
description: "Use Bisheng to assemble, evaluate, and publish enterprise RAG and agent workflows across internal data, models, and business users."
github_stars: 11440
verification: "security_reviewed"
source: "https://github.com/dataelement/bisheng"
author: "DataElement"
publisher_type: "open_source_project"
category: "Templates & Workflows"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "dataelement/bisheng"
  github_stars: 11440
---

# 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/)