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

<p>With the advent of Large Language Models (LLMs), it&rsquo;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&rsquo;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&nbsp;<strong>very technical topics&nbsp;</strong>(such as legal or healthcare),<strong>&nbsp;recent data&nbsp;</strong>they didn&rsquo;t encounter during the training phase, or&nbsp;<strong>private documents&nbsp;</strong>they typically don&rsquo;t have access to.</p> <blockquote> <p><strong><em>To solve this last problem, I&rsquo;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&rsquo;ll go through the overall architecture and the building blocks and implement everything using&nbsp;</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> </blockquote> <p><a href="https://levelup.gitconnected.com/you-can-now-build-a-chatbot-to-talk-to-your-internal-knowledge-base-b6066cacf2d5"><strong>Read More</strong></a></p>