You Can Now Build A Chatbot To Talk To Your Internal Knowledge Base
<p>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.</p>
<p>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.</p>
<p>However, despite these great functionalities, these systems still fall short when they need to answer questions on <strong>very technical topics </strong>(such as legal or healthcare),<strong> recent data </strong>they didn’t encounter during the training phase, or <strong>private documents </strong>they typically don’t have access to.</p>
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<p><strong><em>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.<br />
We’ll go through the overall architecture and the building blocks and implement everything using </em></strong><a href="https://python.langchain.com/docs/get_started/introduction.html" rel="noopener ugc nofollow" target="_blank"><strong><em>LangChain</em></strong></a><strong><em>.</em></strong></p>
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