Chat with your knowledge base using AI
People & Blogs
Introduction
Welcome to Stake AI, where we are delving into the creation of a chatbot that interacts with a knowledge base, providing information to users and internal teams. To start, log into your account on Stake AI's website and create a new project. The project involves setting up input and output components, using an OpenAI GPT model, enabling memory for tracking previous messages, uploading data using a document search node, deploying the chatbot, and creating a user interface for interaction.
In the project setup, we interact with URLs to describe company policies, basic information about Stake AI, and how to use its features. By implementing an input and output to communicate with the language model, specifically GPT 3.5, we enable the chatbot to process user messages effectively. Enabling memory in the language model allows for tracking previous messages in the conversation to enhance the chatbot's responses.
Utilizing a document search node, we upload relevant documents and URLs offline, embedding them into a vector database for reference. The chatbot accesses this data to provide accurate responses to user queries. Once deployed, the chatbot can be exported for organizational use and a user interface can be created for interaction.
Feel free to explore the capabilities of Stake AI in creating a powerful chatbot that leverages a knowledge base and AI technology efficiently.
Keywords
Chatbot, Knowledge base, AI, OpenAI GPT, Memory, Document search, Deployment, User interface
FAQ
- How can I create a chatbot to interact with a knowledge base using Stake AI?
- What model is used for language processing in the chatbot project?
- How can I upload data offline for the chatbot to access?
- Can the deployed chatbot be shared with others for use within the organization?