https://github.com/paraskevi-kivroglou/finance_rag_implementation
This project implements a Retrieval Augmented Generation (RAG) system for financial due diligence. It is inspired from: https://pub.aimind.so/build-a-financial-due-diligence-rag-system-in-60-minutes-using-gemma-121905e1bfc3
https://github.com/paraskevi-kivroglou/finance_rag_implementation
Last synced: 3 months ago
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This project implements a Retrieval Augmented Generation (RAG) system for financial due diligence. It is inspired from: https://pub.aimind.so/build-a-financial-due-diligence-rag-system-in-60-minutes-using-gemma-121905e1bfc3
- Host: GitHub
- URL: https://github.com/paraskevi-kivroglou/finance_rag_implementation
- Owner: Paraskevi-KIvroglou
- License: mit
- Created: 2024-10-27T10:15:08.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-10-28T22:49:28.000Z (8 months ago)
- Last Synced: 2025-01-23T13:45:58.844Z (5 months ago)
- Language: Jupyter Notebook
- Size: 88.9 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Finance_RAG_Implementation
This project implements a Retrieval Augmented Generation (RAG) system for financial due diligence. It is inspired from: https://pub.aimind.so/build-a-financial-due-diligence-rag-system-in-60-minutes-using-gemma-121905e1bfc3
**Features:**
* **Data Cleaning and Preparation:** The code cleans and prepares the financial data for use in the RAG system.
* **Embedding Generation:** Embeddings are generated for the financial data using the SentenceTransformer library. This allows for efficient similarity search.
* **Vector Search:** A vector search pipeline is implemented to retrieve relevant information from the MongoDB database based on the user's query.
* **Query Handling:** The system handles user queries by retrieving relevant information and generating comprehensive answers.
* **LLM Model Integration:** The GEMMA language model and meta-llama/Llama-3.2-1B-Instruct is used to generate insightful answers to user queries.
**Note:**
This project is inspired by the following article:
[Build a Financial Due Diligence RAG System in 60 Minutes Using GEMMA](https://pub.aimind.so/build-a-financial-due-diligence-rag-system-in-60-minutes-using-gemma-121905e1bfc3)