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data-embeddings

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siddharth-nandagopal / retail-rag

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Retail-RAG: A Python-based Retrieval-Augmented Generation (RAG) system for business insights using OpenAI GPT and FAISS. Ingests retail data, generates embeddings, and enables semantic search for financial, customer, and operational insights. Scalable API layer for real-time data-driven decision-making.

python nlp docker machine-learning microservices postgresql business-intelligence openai gpt faiss rag fastapi ai-ml sentence-transformers retail-analytics vector-store retrieval-augmented-generation data-embeddings
  • Updated Oct 28, 2024
  • Python

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