Tanishka158/FINSIGHT-LLM-Powered-News-Research-Assistant-for-Equity-Analysts

FinSight is an open-source research assistant for equity analysts that ingests financial news, builds semantic indexes, and answers analyst queries using LLMs and retrieval-augmented generation (RAG). It’s implemented in Python with Streamlit for UI, LangChain for data flows, OpenAI embeddings/LLMs for semantic understanding, and FAISS for fast similarity search. Who uses it: equity analysts, financial researchers, or developers who need searchable summaries and source-linked answers from news articles. Key features: - Load single URLs or batch-upload text files of URLs - Fetch article content via LangChain’s UnstructuredURL loader - Create OpenAI embeddings and store them in a FAISS index - Perform semantic retrieval and RAG to answer queries - Return LLM responses with source URLs Basic install: clone repo, pip install -r requirements.txt, set OPENAI_API_KEY in a .env. Main files: main.py, requirements.txt, faiss_store_openai.pkl, .env.

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