Your intelligent ally for effortless data retrieval across documents and seamless browsing the web.
- Get your API key groq
- Checkout https://wizsearch.streamlit.app/
Quick start with Ollama in local 🦙✨
wizsearch-demo.mp4
We built Wiz Search using the following components:
- LLM/VLM: Open source models like llama3.1, mistral, LLaVA, etc are supported by platforms such as Ollama and Groq. Closed source models like gpt-4o, gpt-4 supported by OpenAI and Azure OpenAI for natural language understanding and generation.
- Embeddings:
jina-embeddings-v2-base-en
andBM25
using fastembed to enhance search relevance. - Intelligent Search: Tavily for advanced search capabilities.
- Vector Databases: Qdrant for efficient data storage and retrieval.
- Observability: Langfuse for monitoring and observability.
- UI: Streamlit for creating an interactive and user-friendly interface.
- Clone the repo
git clone https://github.com/SSK-14/WizSearch.git
- Installation and setup
bash setup.sh
- Running
streamlit run app.py
Contributions to this project are welcome! If you find any issues or have suggestions for improvement, please open an issue or submit a pull request on the project's GitHub repository.
This project is licensed under the MIT License. Feel free to use, modify, and distribute the code as per the terms of the license.