https://github.com/reckadon/inter-iit-pathway-pathrag-court-simulator
A Multi Agent RAG Application built with LangGraph, CrewAI and Pathway. The App simulates the working of an Indian Legal Court.
https://github.com/reckadon/inter-iit-pathway-pathrag-court-simulator
agentic-rag agentic-workflow ai crewai langchain langgraph multiagent-systems python rag
Last synced: 26 days ago
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A Multi Agent RAG Application built with LangGraph, CrewAI and Pathway. The App simulates the working of an Indian Legal Court.
- Host: GitHub
- URL: https://github.com/reckadon/inter-iit-pathway-pathrag-court-simulator
- Owner: Reckadon
- License: mit
- Created: 2024-12-07T12:17:16.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-07-15T20:44:12.000Z (11 months ago)
- Last Synced: 2025-08-30T15:36:56.843Z (9 months ago)
- Topics: agentic-rag, agentic-workflow, ai, crewai, langchain, langgraph, multiagent-systems, python, rag
- Language: Python
- Homepage:
- Size: 2.19 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# PathRAG Court
_Full Project Report [here](./project_report.pdf)_
---
[](https://forthebadge.com)
### Running the project: 🚀
- Since Pathway is meant to be deployed in a containerized manner, and single-machine deployments can easily be achieved using Docker - we opted to make the whole app be able to run in a docker container. The dependencies are automatically installed into the container using the `requirements.txt` file.
- Therefore to run the project, you need to have **Docker** installed in your environment.
- First, go into the project directory, and setup a `.env` file (have to make the file) containing all the **API Keys** required to run the LLMs and fetching tools.:
```env
GOOGLE_API_KEY=
GROQ_API_KEY=
HUGGINGFACE_API_KEY=
SERPER_API_KEY=
KANOON_API_KEY=
// Other API keys for any LLM you would like to use
```
- Then, run the following command:
```terminal
docker build -t pathwaytest .
```
`pathwaytest` can be replaced with any name you want to give to the image.
Then, run the container with the following command:
```terminal
docker run -it -p 8000:8000 --rm --env-file .env pathwaytest
```
_Use the same name as above_, this will expose the backend FastAPI server at port 8000.
---
### Architecture Diagram: 🏛️
### Problem Solved: 🎯
1. **Preparing for Legal Cases**
- **Problem**: Preparing for a court case involves analyzing previous cases, predicting arguments, and anticipating the course of proceedings, which can be overwhelming.
- **Solution**: By simulating court proceedings based on user-provided case descriptions and files, the system helps users practice and prepare for real-world legal scenarios, providing insights into potential arguments, counterarguments, and outcomes.
1. **Educational Tool for Legal Understanding**
- **Problem**: Many individuals lack exposure to how courts operate, leading to confusion and anxiety about legal proceedings.
- **Solution**: The system provides an educational platform where users can interactively learn about court processes, understand legal principles, and explore how different factors influence verdicts.
1. **Accessible Legal Expertise**
- **Problem**: Access to professional legal expertise is often expensive and not always feasible for all individuals, especially for preliminary case evaluations.
- **Solution**: By simulating courtroom interactions with intelligent agents, the application provides users with a preliminary understanding of their case, enabling informed decisions without immediate legal consultation.
## References
1. Indian Penal Code PDF: [link](https://www.iitk.ac.in/wc/data/IPC_186045.pdf)
1. PDF Parsing reference: [Multimodal RAG for PDFs with Text, Images, and Charts](https://pathway.com/developers/templates/multimodal-rag)
1. Vector store reference: [Data Indexing](https://pathway.com/developers/user-guide/llm-xpack/vectorstore_pipeline/)