Interactive Tool
RAG Pipeline Visualiser
Explore every step of Retrieval-Augmented Generation. Choose a chunking strategy, debug retrieval with similarity scoring, evaluate answer quality with AI, and compare token costs across models.
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RAG Pipeline
Watch the full pipeline: chunking, embedding, retrieval, and generation animated step-by-step.
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Chunking Lab
Compare 4 chunking strategies (fixed-size, sentence boundary, recursive, sliding window) side-by-side.
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Similarity Map
See which chunks get retrieved. Adjust threshold to understand why some chunks rank higher.
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Eval Score
Grade your RAG answer: faithfulness, relevance, hallucination risk, and unsupported claims.
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Token Counter
Count tokens, estimate costs across GPT-4o, Claude, and Gemini, and visualize token boundaries.
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Learn RAG
Deep dive: build a production RAG system with LangChain4j and Spring Boot.
Want to build a RAG system?
Check out my blog post on building production RAG pipelines with LangChain4j and Spring Boot.
Read the Article