Finding obvious chunk boundaries, overlap waste and retrieval misses before paying for embeddings or a vector database.
Free tool / RAG Chunk Tester
RAG Chunk Tester
Split real source text, ask a representative question and inspect which chunks a deterministic local retriever ranks highest.
Current status: LiveTest retrieval before embeddings
Available now
Split real source text, ask a representative question and inspect which chunks a deterministic local retriever ranks highest.
Open the free tool →- Bring
- Representative source text, chunk settings and a real user question.
- You get
- Ranked lexical matches, overlap metrics, warnings and JSONL chunks.
- Know the limit
- Local lexical ranking is diagnostic and does not prove production embedding performance.
The five file and AI engineering tools run in your browser without an account, provider call or analytics. The workflow map can optionally hand a result to the project form only when you choose.
The browser creates chunks with your selected strategy and ranks them with a transparent BM25-style lexical retriever.
Load an approved handbook, ask a real support question and check whether the expected passage appears in the top three results.
- Does my input leave the browser?
- The five file and AI engineering tools run in your browser without an account, provider call or analytics. The workflow map can optionally hand a result to the project form only when you choose.
- Does the result prove the system is ready?
- Local lexical ranking is diagnostic and does not prove production embedding performance.