I build production-ready RAG (Retrieval-Augmented Generation) pipelines that connect your documents, databases, or knowledge base to an LLM, so it answers questions accurately using YOUR data, not just generic knowledge.
What's included:
Document ingestion & chunking pipeline
Vector indexing with FAISS or similar
LLM integration (OpenAI, HuggingFace, or open-source models)
FastAPI backend for seamless integration into your app
Faithfulness evaluation to ensure output quality
Ideal for: startups building AI assistants, document Q&A tools, or internal knowledge bots.
I build production-ready RAG (Retrieval-Augmented Generation) pipelines that connect your documents, databases, or knowledge base to an LLM, so it answers questions accurately using YOUR data, not just generic knowledge.
What's included:
Document ingestion & chunking pipeline
Vector indexing with FAISS or similar
LLM integration (OpenAI, HuggingFace, or open-source models)
FastAPI backend for seamless integration into your app
Faithfulness evaluation to ensure output quality
Ideal for: startups building AI assistants, document Q&A tools, or internal knowledge bots.