Building an Agent to Query a SQL Database and Analyze Data
Вставка
- Опубліковано 8 чер 2024
- Build a data analyst agent using LangGraph and the new Azure Container Apps dynamic sessions API.
Tutorial code: github.com/langchain-ai/langc...
LangChain docs: python.langchain.com/v0.2/doc...
Azure Container Apps docs: learn.microsoft.com/en-us/azu...
Blog: blog.langchain.dev/integratin... - Наука та технологія
This is great. Can you do a video on putting these agents in a backend/fastapi/REST API framework so we can learn how to productionalize agents? Especially with human in the loop, and streaming in REST API. Thank you
Loved this one! learnt quite a bit.
Great video as always! Such cool tool! Appreciate you guys posting these helpful video, this is game changer!
Just a thought related to LangGraph tho - I am starting to switch my application from langchain to langgraph as I need more control over the chain and conditional edges. One thing I found it is quite difficult when code LangGraph is - each node does have some dependencies from other nodes when you code, meaning like for tool need to grab the tool from latest tool messages so you need to remember and knowing what state and message was passed till this point, it is very difficult to code and even maintain when you have 5+ nodes. I am wondering if there is a better way to design this so each node code logic are independent and all the logic will be coded in the edge or some places.
Keep going ❤❤
Obrigado pelo conteúdo ❤
Python? 😩