Skip to content
#

data-embeddings

Star

Here are 2 public repositories matching this topic...

siddharth-nandagopal / retail-rag

Star 2

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

Improve this page

Add a description, image, and links to the data-embeddings topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the data-embeddings topic, visit your repo's landing page and select "manage topics."

Learn more