SHUKUN AI is an AI-native database search application that helps companies explore and analyze data. SHUKUN AI provides a feature that helps you split complex natural language tasks into smaller parts then combines them into the results. This is designed to solve the AI accuracy problems in enterprise-level use cases.

1. LLM Support: Integration with OpenAI's GPT-3.5 or CodeLlama aims to use smaller models to accomplish tasks more quickly and affordably.
2. SQL Assistants: Split complex natural language tasks into smaller parts then combines them into the results.
3. Database Configurations: Works with your exist database, retrieves the structure automatically, and labels the structure effectively.
4. Insight Dashboard: Explore, observe, analyze your data with multiple levels of detail on Dashboard.

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Make sure your machine meets the following minimum system requirements:

• CPU >= 2 Core
• RAM >= 4GB

The easiest way to start the SHUKUN AI is to run our docker-compose.yml file. Before running the installation command, make sure that Docker and Docker Compose are installed on your machine:

git clone https://github.com/shukun-ai/shukun-ai.git
cd shukun-ai/docker
cp ../.env .env
# Update LLM_TYPE, LLM_MODEL, LLM_API, LLM_API_KEY with yours
docker compose up -d

After running, you can access the SHUKUN AI in your browser at http://localhost:8877.

For those who'd like to contribute code, see our Contribution Guide.

At the same time, please consider supporting SHUKUN AI by sharing it on social media and at events and conferences.

This repository is available under Apache-2.0 License.