General Introduction
Curiosity is a program designed for exploration and experimentation, primarily using the LangGraph and FastHTML technology stacks, with the goal of building a Perplexity AI of the search product. At the heart of the project is a simple ReAct Agent, utilizing the Tavily Curiosity supports a variety of large language models (LLMs), including OpenAI's gpt-4o-mini, Groq's llama3-groq-8b-8192-tool-use-preview and the Ollama The project focuses not only on the technical implementation, but also spends a lot of time on the front-end design to ensure a high quality visual and interactive experience.
Function List
- Using LangGraph and FastHTML Technology Stacks
- Integrated Tavily Search Enhanced Text Generation
- Support for multiple LLMs, including gpt-4o-mini, llama3-groq, and llama3.1
- Provides flexible back-end switching capabilities
- The front-end is built with FastHTML and supports WebSockets streaming.
Using Help
Installation steps
- Cloning Warehouse:
git clone https://github.com/jank/curiosity - Make sure you have the latest Python3 interpreter.
- Set up a virtual environment and install dependencies:
python3 -m venv venv source venv/bin/activate pip install -r requirements.txt - establish
.envfile and set the following variables:OPENAI_API_KEY=<your_openai_api_key> GROQ_API_KEY=<your_groq_api_key> TAVILY_API_KEY=<your_tavily_api_key> LANGCHAIN_TRACING_V2=true LANGCHAIN_ENDPOINT="https://api.smith.langchain.com" LANGSMITH_API_KEY=<your_langsmith_api_key> LANGCHAIN_PROJECT="Curiosity" - Run the project:
python curiosity.py
Guidelines for use
- Initiation of projects: Run
python curiosity.pyAfter that, the project will start and run on the local server. - Select LLM: Select the appropriate LLM (e.g., gpt-4o-mini, llama3-groq, or llama3.1) according to your needs.
- Search with Tavily: Enter a query into a dialog and the ReAct Agent enhances the text generation with Tavily search.
- Front-end Interaction: The front-end of the project is built using FastHTML and supports WebSockets streaming to ensure real-time response.
common problems
- How to switch LLM: in
.envfile to configure the appropriate API key and select the desired LLM when starting the project. - WebSockets Issues: If you are experiencing problems with WebSockets closing for no apparent reason, it is recommended that you check your network connection and server configuration.
May not be reproduced without permission:AI productivity tools " Curiosity: building a Perplexity-like AI search tool using LangGraph
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