Training project
RAG assistant over document corpus
Related course: Generative AI
Problem
Product teams want assistants grounded in private docs, not unconstrained LLM answers—retrieval quality matters.
Architecture (high level)
Document loaders/splitters → embeddings → vector store (e.g. Pinecone/Chroma) → retrieval → LLM generation via LangChain; evaluation and cost-aware API design from RAG and Production modules.
Technologies
- LangChain
- OpenAI API
- Pinecone
- Python
- FastAPI
This is a Vector Skill Academy training project completed during the course. It is not confidential client work and does not represent a live production engagement.