Internal Knowledge Base

 

You Can Now Build A Chatbot To Talk To Your Internal Knowledge Base

With the advent of Large Language Models (LLMs), it’s now possible to hold a human-like conversation with a bot on a wide variety of topics.

This is an unprecedented innovation that made pre-2022 chatbots obsolete. In fact, with systems like ChatGPT, we’ve witnessed improvements such as enhanced linguistic capabilities (including grammar, syntax, and writing style), chat memory, and a large knowledge of many subjects.

However, despite these great functionalities, these systems still fall short when they need to answer questions on very technical topics (such as legal or healthcare), recent data they didn’t encounter during the training phase, or private documents they typically don’t have access to.

To solve this last problem, I’ll show you in this post how you can build a personalized chatbot that connects to your data sources and answers questions about your internal knowledge base.

We’ll go through the overall architecture and the building blocks and implement everything using LangChain.

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