RAG Chunk Optimizer
4
discussions evidencing this problem
CLI tool that empirically tests different chunking strategies on your documents and recommends optimal chunk size, overlap, and retrieval parameters based on measured recall metrics.
4×
discussions evidencing this
4
pain statements
4
distinct people
3
communities
What a useful calculator would help with
It could help you work out:
- Recommended chunk size
- Recommended overlap percentage
- Recall scores by strategy
- Side by side comparison of chunking approaches
Based on documents to analyze, query examples from your domain, target retrieval metric (e.g., top k accuracy).
Where the evidence comes from
A sample of the discussions behind this problem.
I was frustrated with expensive AI markups, so I built my custom agent platform. Just hit 14ms latency on 166-page document searches
r/AiBuilders
Stop guessing RAG chunk sizes
r/LLMDevs
Why does my RAG system give vague answers?
r/AI_Agents
+ 1 more discussion in the complete analysis, with links to each.
Investigate this idea
Use this as a starting point. Narrow the audience or workflow, then check whether the evidence supports your version.
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Sourced from r/AiBuilders, r/LLMDevs and r/AI_Agents. The complete analysis adds:
- The verbatim excerpts behind every pain statement
- The complete source-discussion list, with links to each
- The full set of capabilities people asked for
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