This project utilizes LangChain to generate summaries of stock transcripts using a local Language Model (LLM). The project stores summarized data in ChromaDB for easy access and uses MongoDB to manage financial metrics associated with the stocks.
- LangChain Integration: Summarizes stock transcripts using a local LLM.
- ChromaDB: Stores and indexes stock summaries for efficient retrieval.
- MongoDB: Stores financial metrics such as revenue, earnings, etc.
| lexrank | gpt4all-falcon-q4_0 | |
|---|---|---|
| Precision | 0.385635 | 0.421326 |
| Recall | 0.503401 | 0.511537 |
| F1 | 0.436718 | 0.462069 |