Introduction#
In this tutorial, you are going to learn how to build a state-of-the-art conversational AI system with Jac Cloud and the Jac programming language and other popular open source python libraries. You will learn the basics of jaclang, how to use large language models, and everything in between, in order to create an end-to-end fully-functional conversational AI system. This tutorial requires Python 3.12 or higher.
Open Source Tools and Libraries Used (all pypi packages)#
| Project | Description |
|---|---|
| jaclang | A python superset language that introduces new coding abstractions for modern software and AI development. |
| jac-cloud | A runtime stack plugin to Jac that automates just about everything needed for cloud server execution and deployment. |
| langchain_community | A collection of community-contributed tools, extensions, and utilities for the LangChain ecosystem. These contributions aim to extend LangChain’s capabilities in building applications around large language models. |
| chromadb | ChromaDB is a vector database designed for storing embeddings and efficiently retrieving them. It is commonly used for machine learning and natural language processing applications to handle large volumes of high-dimensional data. |
| langchain | LangChain is a powerful framework designed to streamline the development of applications using large language models (LLMs). It provides a unified interface to connect with various LLMs and integrates with external data sources. |
| pypdf | PyPDF is a pure Python library for working with PDF files. It enables reading, modifying, and merging PDF files, supporting a wide range of operations like extracting text, splitting/merging documents, and manipulating metadata. |
| ollama | Ollama provides an interface for using large language models, focusing on running them efficiently on local hardware while providing compatibility with cloud-based models. |
| openai | (optional) The OpenAI Python library provides convenient access to the OpenAI API from applications written in Python, enabling developers to interact with OpenAI's GPT models and other AI-driven tools. |
Project Steps#
To begin, start building your conversational AI system by following these steps: