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Multi-Agent AI Solution with Neon, Langchain, AutoGen and Azure OpenAI

Blog post from Neon

Post Details
Company
Date Published
Author
Bobur Umurzokov
Word Count
1,305
Company Posts That Month
37
Language
English
Hacker News Points
-
Post removed?
No
Summary

Building a multi-agent AI solution using Neon Serverless Postgres, LangChain, AutoGen, and Azure OpenAI enables advanced data management by allowing AI agents to both query and perform actions on databases. This approach uses a collection of specialized agents, each with distinct roles and access privileges, to manage shipments, customer, and product information efficiently. By leveraging technologies like LangChain for converting user requests into structured database queries and AutoGen for agent collaboration, the system facilitates tasks such as creating shipments or managing customer information. Neon provides a robust platform for this setup with features like branching to safely test AI-generated queries without affecting the main database, and its serverless model supports thousands of databases without incurring costs for inactive ones. This setup ensures that each AI agent operates within its domain, maintaining data integrity and enabling scalable, low-cost AI-driven data management solutions.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
AI Agents 12 1,470 249 96 +70%
Multi-agent systems 7 192 44 24 +210%
Serverless 3 577 158 78 +5%
LLM 2 3,220 466 154 -13%
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