Financial Document Analysis with Graph-RAG & LLM

1. 1Install LlamaParse and Groq libraries using pip
2. 2Configure Neo4j graph database for storing financial data
3. 3Build a Graph-RAG model using LlamaParse and Groq
4. 4Run the model on a sample financial document to extract relevant information
5. 5Test the model's performance using evaluation metrics

Data scientists and financial analysts can benefit from this technique to extract insights from financial documents, and software engineers can implement the solution using the mentioned tools

💡 Graph-RAG and LLMs can be used together to extract valuable insights from financial documents

📊 Analyze financial documents with Graph-RAG & LLMs using LlamaParse, Groq, and Neo4j! #LLM #GraphRAG #FinancialAnalysis