How I Built an RAG Pipeline with Transformers
Aug 1, 2025
How I Built an RAG Pipeline with Transformers
Building a Retrieval-Augmented Generation system (RAG) using Hugging Face and FAISS was one of the most practical applications of LLMs in my recent work.
🧠 Why RAG?
The main challenge was building a scalable question-answering system over a large set of unstructured legal documents. Traditional keyword-based search systems failed to capture semantic relevance, so we turned to RAG.
🔧 Stack
- Python
- Hugging Face Transformers
- FAISS
- Langchain
- PostgreSQL
🚀 Outcome
We achieved 93% accuracy on legal compliance doc classification and significantly reduced document retrieval latency thanks to FAISS indexing and chunked embedding strategies.