https://github.com/firstbatchxyz/dria-searching-agent
https://github.com/firstbatchxyz/dria-searching-agent
Last synced: over 1 year ago
JSON representation
- Host: GitHub
- URL: https://github.com/firstbatchxyz/dria-searching-agent
- Owner: firstbatchxyz
- License: apache-2.0
- Created: 2024-05-04T15:51:49.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2024-06-12T07:10:22.000Z (about 2 years ago)
- Last Synced: 2025-04-07T18:52:43.878Z (over 1 year ago)
- Language: Python
- Size: 1.03 MB
- Stars: 14
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Dria Search Agent
Dria Search Agent replies queries with scientifically grounded answers with a multi-agent system.
# DRIA Search Agent
DRIA Searching Agent is an AI-powered tool that answers your questions by selecting the most relevant agent from a pool of agents with different backstories. The selected agent searches the internet, reads articles and websites, and provides a detailed response to your query.
## Prerequisites
- Python 3.12 or 3.13
- Poetry
- Docker
## Installation
1. Install Poetry:
```bash
curl -sSL https://install.python-poetry.org | python3 -
```
2. Clone the repository:
```bash
git clone git@github.com:firstbatchxyz/dria-searching-agent.git
cd dria-searching-agent
```
3. Install dependencies using Poetry:
```bash
poetry install
```
## Running the Application with Poetry
To run the app with poetry, first start the Qdrand and Browserless services using docker-compose
```bash
docker-compose up -d
```
Then run the application using Poetry in one of three modes:
```bash
poetry run search
poetry run search_v2 # with manager
poetry run server # server mode
```
Which compiles three different versions of the program.
This command sets up a virtual environment specific to the project and executes the `app` script or module specified in the `pyproject.toml` under `[tool.poetry.scripts]`.
## Running the Application in server mode with Docker-compose
Project can be run in a server mode with the following docker compose profile
```bash
docker-compose --profile server up
```
Which sets up Qdrant, Browserless and agent services
After the services are ready, agent server will be listening on port 5000, example request body:
```json
{
"query":"How does Google Maps detects traffic?",
"with_manager": true
}
```
## How to Use
1. Ask a question or provide a query.
2. The DRIA Searching Agent will select the most relevant agent from its pool based on the question.
3. The selected agent will search the internet, read articles, and gather information to provide a detailed response.
4. The agent will present the answer to your question, along with the sources used to compile the response.
## Additional Tools and Commands
- Run tests with Poetry using a command like `poetry run pytest`.
- Update Python dependencies using `poetry update`.