AI Custom Chatbot Quickstart
To get started leveling up your custom AI chatbot, check out our GitHub repository here.
Domain specific AI chatbots are powerful applications that can be used in many use cases:
- Virtual Assistants
- Knowledge retrieval
- Text synthesis
- Text formatting
- Sentiment analysis
Building AI chatbot apps is easy. Customizing is hard.
This ready-to-go sample project shows you how to build a custom chatbot using our preferred LLM tech stack:
We are leveraging Retrieval Augmented Generation (RAG).
The goal of this tutorial is to demonstrate the basics.
- Demonstrate how to add custom data to an LLM model (we're using OpenAI's gpt-3.5-turbo)
- Demonstrate a conversational memory LLM chatbot
- Demonstrate using agents and tools with the Langchain Framework
Technical Objectives
- Ingest data into a vector database
- Query the vector database
- Query an agent that decides whether to query the vector database
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