https://github.com/tomar840/jigyasa.ai
GenAI based search engine
https://github.com/tomar840/jigyasa.ai
google-search-api llama3-meta-ai ollama python stremalit
Last synced: 6 months ago
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GenAI based search engine
- Host: GitHub
- URL: https://github.com/tomar840/jigyasa.ai
- Owner: tomar840
- Created: 2024-08-12T09:42:16.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2024-08-15T15:09:14.000Z (about 1 year ago)
- Last Synced: 2025-02-14T13:18:14.537Z (8 months ago)
- Topics: google-search-api, llama3-meta-ai, ollama, python, stremalit
- Language: Python
- Homepage:
- Size: 27.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Jigyasa (जिज्ञासा)
This repository contains ollama based logic for open source AI-powered search engine.
## Table of Contents
- [Installation](#Installation)
- [Usage](#Usage)
- [To-Do](#To-Do)
- [Contributing](#contributing)
## Installation
To use this implementation, you will need to have Python >= 3.10 installed on your system, as well as the following Python libraries:
```
git clone https://github.com/tomar840/Jigyasa.git
cd Jigyasa.ai
pip install -r requirements.txt
```
To install ollama, follow instructions from this [repo](https://github.com/ollama/ollama).
## Usage
You can start the ollama inference server using instructions from this [repo](https://github.com/ollama/ollama).
In a standalone terminal, run ollama inference server for your model. We are using Llama3.1-Instruct model at the moment.
```
ollama run llama3:8b-instruct-q8_0
```
[](https://drive.google.com/file/d/1neo_H1jrsQXm1lnxp5kKM2oXw9kQ4set/view?usp=sharing)
Run the below commands to run the streamlit app
```
python libs/modules/route/answer.py
streamlit run ./libs/modules/route/app.py
```
then go to `http://localhost:8501/`
## TODO
- Tuning prompts for Llama-3.1-Instruct
## Contributing
Contributions to improve the project are welcome. Please follow these steps to contribute:
Fork the repository.\
Create a new branch for each feature or improvement.\
Submit a pull request with a comprehensive description of changes.