Basic RAG Lab

See how a minimal RAG pipeline chunks documents, embeds text, retrieves context, builds a prompt, and generates a grounded answer.

GuidedNo API keys in Lab

Guided execution

This Lab replays a recorded Cookbook execution in your browser — no API keys required here. Running the Cookbook locally uses your own provider credentials.

Example question

Pick one question, then run the recorded pipeline.

What problem does RAG solve?Why are embeddings needed?How does retrieval work?

Execution

Choose a question and run the recorded pipeline to inspect how Basic RAG processes it step by step.

You will see: Chunking → Embeddings → Retrieval → Prompt → LLM → Answer

Continue Learning

Deeper explanations in the DataAIHub knowledge graph.

Implementation

Run the same pipeline locally from the public Cookbook.

View Basic RAG source

Next LabHybrid RAG — combine semantic and lexical retrieval.

Related Tools

Canonical tools often used in RAG stacks.

Lab ID basic-rag · guided / precomputed