by neondatabase · AI 工具 · ★ 9
Multi-Agent AI Example with LangChain, AutoGen, Azure OpenAI, and Neon Serverless Postgres This repository demonstrates how to build a multi-agent AI solution using: LangChain for natural language to SQL translation. AutoGen for coordinating AI agents in collaborative workflows. Azure OpenAI GPT-4o for intelligent language understanding and generation of SQL queries in Neon PostgreSQL. Neon Serverless Postgres for scalable database branching and dynamic data management. The application showcases a shipping company where AI agents manage shipments, customers, and product information.
| Stars | 9 |
| Forks | 0 |
| Language | Python |
| Category | AI 工具 |
| Quality Score | 42.45/100 |
| Open Issues | 2 |
| Last Updated | 2026-03-03 |
| Created | 2025-02-10 |
| Platforms | python |
| Est. Tokens | ~10k |
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multi-agent-ai-azure-neon-openai is Multi-Agent AI Example with LangChain, AutoGen, Azure OpenAI, and Neon Serverless Postgres. It is categorized as a AI 工具 with 9 GitHub stars.
multi-agent-ai-azure-neon-openai is primarily written in Python. It covers topics such as ai-agents, autogen, azure.
You can find installation instructions and usage details in the multi-agent-ai-azure-neon-openai GitHub repository at github.com/neondatabase/multi-agent-ai-azure-neon-openai. The project has 9 stars and 0 forks, indicating an active community.