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henrii1 authored Mar 28, 2024
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# Full_Agent_build
Full LLM powered application (Langchain and LlamaIndex) plus frontend (HTML, CSS and Flask)
# Comprehensive AI Agents and Interactive UI
# Project Description

Comprehensive AI agents comprise various tools aimed at enhancing tasks such as internet searches, web scraping, data conversation, and trip planning. The project includes:

- **Multi-Tool Agent**: Capable of navigating between utilities like internet searches, web scraping, and two RAG (Retrieval-Augmented Generation) tools for conversing with data.
- **Agent Orchestration Tool**: Designed specifically for planning trips.
- **Comprehensive RAG Tool**: Equipped with multiple retrieval methods for optimal information retrieval operations.

## Libraries Used:
- Llama-index
- Langchain
- CrewAI
- OpenAI

## Running the Project:

1. Download Ollama using the following command:
```
curl -fsSL https://ollama.com/install.sh | sh
```

2. Make the Ollama model setup script within the setup directory executable using:
```
chmod +x <filepath>
```

3. Run the Ollama model setup files.

4. Use the following command to run the Ollama server and utilize the models:
```
ollama serve
```

5. Open the virtual environment using Poetry shell:
```
poetry shell
```

6. Finally, run the Flask app using:
```
python app.py
```

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