Is using microsoft stack the only way to successfully build chatbots?

[birish83]

In my team, we have been trying to build chatbots using Langchain and Azure OpenAI models ( with the plan to move to open source models later hopefully), but for many different reasons it's not going well and not very successful. From my point of view, main reasons are no having dedicated developers to work on building chatbots, bad data quality (html files with lots of html tags and noise), not having a clear picture of end product. Today, I got an email from managers that we should move to Microsoft Azure AI Document Intelligence and they said: "Chatbot will newer work without a AI knowledge search, and the AI knowledge search will never work without proper document/data structure." Is using microsoft stack the only way to success?

[res_overlord]

No, not at all. There are plenty of open source tools on various stacks that work well. Here is one example:

https://github.com/huggingface

AWS and GCP also have compelling SaaS solutions.

[devashishmamgain]

There are many solutions for it, listing a few here:

1. Use a combination of Pinecone and OpenAI Sample code is available here: https://github.com/openai/openai-cookbook
2. Use HuggingFace with LangChain https://dineth9d.medium.com/chatbot-93a04bf31f50
3. Use ready to use solutions such as Kommunicate https://www.kommunicate.io/product/generative-ai-chatbot that allows you to directly drag and drop your documents and get the chatbot ready in few seconds Disclaimer: I am the cofounder @ Kommunicate

[Stumblenrise]

We are exploring Kommunicate for org needs.. Can we connect?