Slack is a popular platform for team communication and collaboration. But what if you could also use Slack to access and query your own data sources, such as documentation, or past Slack conversations? In this talk, I will show you how to build a Slackbot that can answer questions based on your data using Azure Open AI and LangChain. Azure Open AI is a cloud-based platform that enables you to access and use OpenAI’s powerful LLMs. LangChain is a framework for developing applications powered by language models.
The session will focus on
OpenAI, LLMs, Azure App Service, Slack Webhooks.
What will you learn from the session?
-How to use Azure Open AI to access and use OpenAI’s LLMs
-How to use LangChain to create prompts, indexes, and retrievers for your data sources
-How to integrate LangChain and Azure Open AI with Slack using webhooks and slash commands.
Event Host: Reshmi Sriram
Reshmi is a PM @ Azure Native ISV Services, previously at Static Web Apps, Microsoft. True to her not-so-great coding skills, she now works at improving the developer experience for beginners and enthusiasts, and firmly believes in building a strong community of supportive developers. Goes by the mantra “Procrastination is the key to Impulsiveness.
Social Handle of the speaker
Twitter- @ReshSriram
Guest Speaker Bio: Jayesh Sharma
Jayesh loves playing around with new technology and currently builds and manages the infrastructure for machine learning applications at ZenML. He plans his days to maintain a balance between coding, sports and music, and will never refuse a chance to go hiking in nature!
Social Handle of the speaker
Twitter- https://twitter.com/wjayesh/
LinkedIn- https://www.linkedin.com/in/wjayesh/
Pre-requisites:
Link to Lang Chain QuickStart
https://python.langchain.com/en/latest/getting_started/getting_started.html
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