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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.

What is Build enterprise RAG and agent workflows with Bisheng?

Build enterprise RAG and agent workflows with Bisheng is a Claude Code agent skill that use Bisheng to assemble, evaluate, and publish enterprise RAG and agent workflows across internal data, models, and business users.

Works with~Claude Code~Codex CLI~Cursor
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Preview

From the skill README

Build enterprise RAG and agent workflows with Bisheng preview

Documentation

What does Build enterprise RAG and agent workflows with Bisheng do?

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:

Requirements and caveats from upstream:

  • 🖐️ 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:

Documentation

Source

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Add graph-backed memory and context retrieval to agent workflows

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Add persistent project memory and hook-driven synthesis with Cla

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Add Postgres-native vector retrieval to agent and RAG workflows

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Add temporal context memory to agent workflows with Zep

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