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Build AI chatbot with custom knowledge base using OpenAI API and GPT Index

People & Blogs

Introduction

In this article, we will explore how to create our own AI chatbot that can answer questions based on a custom knowledge base. While tools like OpenAI's GPT can provide general knowledge answers, they cannot access specific information that is unique to your knowledge base. Hence, creating a custom AI with a knowledge base is necessary to provide accurate and relevant answers specific to your domain.

Step 1: Creating a Custom Knowledge Base

To create a custom AI chatbot, we need to break down our knowledge base into small, indexable chunks. This allows the AI model to find the relevant context and provide accurate answers. Fortunately, there is an open-source library called GPT Index that can help us with this task. We just need to learn how to use it effectively.

First, we need to upload our data to a folder called "context data." This folder should contain all the files from our knowledge database. In this example, we will be using fake interview data related to cooking habits and the use of domestic appliances.

Next, we install the necessary dependencies, including the GPT Index library and the Line-Chanel library, which is used by GPT Index. This can be done by running the provided code.

Now, we define two functions that will help us construct an index from our data and query the AI model with user input. The first function, "construct_index," takes the directory path as input and creates an index based on the data found in the given directory. The second function, "query_ai," queries the AI model with user input and displays the results in a markdown format.

To access the OpenAI API, we need an API key. You can obtain this key by signing up on the OpenAI website and generating an API key. Once you have the API key, you can set it in the code to authenticate your requests.

Finally, we run the code to construct the index from our data. This creates a JSON index file that will be used by our AI chatbot to provide accurate answers.

Step 2: Summarizing the Article

Keywords: AI chatbot, custom knowledge base, OpenAI API, GPT Index, knowledge database, GPT-3 model

Step 3: Frequently Asked Questions (FAQ)

FAQ:

  1. What is an AI chatbot?
  2. How does a custom knowledge base differ from general knowledge?
  3. Can a chatbot built with OpenAI's GPT access a specific knowledge base?
  4. Why is indexing the data necessary for creating a chatbot with a custom knowledge base?
  5. Is creating an index manually a time-consuming task?
  6. Are there any pre-existing tools or libraries that can help with indexing data for chatbots?
  7. Can AI be used for brainstorming and generating ideas based on a custom knowledge base?

In conclusion, building an AI chatbot with a custom knowledge base can greatly enhance its ability to provide accurate and relevant answers. By utilizing tools like OpenAI's GPT API and the GPT Index library, it becomes easier to break down the knowledge base and create an index for efficient querying. With this approach, the chatbot can leverage the specific context and deliver highly tailored responses.