What has to be cut before a retriever runs

What the note frames

The ragconverter field note is titled as a guide to chunking strategies, and it calls the split the decision that sets the ceiling. This page takes that frame and does not paste the note's recipes. The dependency is the cut that happens before a retriever runs: a model can only condition on a span the converter already made. The note that frames the cut is the chunking field note.

What the paper says retrieval adds

Read together, the filed pages are the record, and a later paraphrase would not replace them. Lewis, Perez, Piktus, Petroni, Karpukhin, Goyal, Küttler, Lewis, Yih, Rocktäschel, Riedel, and Kiela describe retrieval-augmented generation as a generator conditioned on passages fetched from a document index. The index is only as good as the spans that were stored. A chunk boundary is that storage decision. On-device inference, a different bound, is what on-device inference keeps.

What a line-oriented file decides

Lewis and coauthors describe a generator conditioned on passages from an index. If the index never stored the sentence, the generator cannot retrieve it, which is the ceiling the field note is pointing at. JSON Lines fixes a record as one JSON value per line and leaves the length of that value open. A line break can fall in the middle of an argument. The format will not rescue the cut. This page has not opened the note's strategy table, so it will not recommend an overlap or a token budget. A number belongs here only after it is quoted from the note on purpose. AlphaProof's solved counts are a different artificial-intelligence document and do not set a chunk length. The order the three documents support is cut, store, retrieve, then generate. Starting from the prompt starts too late. A retriever is not a repair tool for a bad cut. Passages that were never stored cannot be fetched, and a generator cannot quote them. JSON Lines will not choose the cut. The field note says the cut is the ceiling and this page leaves every recommended length inside the note. That refusal is the brief, not a missing paragraph. The paper supplies the method. The format supplies the file. JSON Lines specifies one JSON value per line. A converter that emits it has chosen a record boundary, which is not yet a semantic chunk. A line can be a paragraph, a page, or a whole section. The format does not pick. The desk is Artificial Intelligence.

Why it matters on this desk

The dependency is the ceiling the note names. If the wrong span is stored, a later model cannot recover the sentence that was cut away. Prompting does not fix a missing passage. That is a document problem, filed here because retrieval is how many current systems see a corpus. A training cutoff, which is a different limit, is what a training cutoff does not mean.

What this page will not invent

No token count, no overlap percentage, and no recommended splitter appear in the paper's abstract or in the JSON Lines specification. If the field note recommends a number, it stays in the note until this page quotes it from a reading of that page, which this filing does not pretend to reproduce. The software desk is Software.

Where the documents split

The paper defines a method: retrieve, then generate. The line format defines a file. The field note says the split is the ceiling. None of the three is a leaderboard. They overlap in the order of operations. They do not overlap in a single best chunk size, because this page refuses to mint one. The front of the paper is Futureweb.

What to watch next

A quoted recommendation from the field note, with the number attributed, would let a length enter this brief. A revision of the paper's method would change what retrieval means. A new file format would not, by itself, choose a semantic boundary. The order stays: cut, store, retrieve, generate. The ceiling is the decision both of them leave to the person holding the document.

What would change the record

If the note's title stopped calling the split a ceiling, the frame of this brief would have to change. If JSON Lines gained a chunking rule, the format would start making the decision it currently leaves open. Neither has happened in the documents filed here. AlphaProof's counts are a different AI document and do not set a chunk size.

What stays a boundary

What stays specific is an order. A field note says the chunking decision sets the ceiling for retrieval. A 2020 paper says a generator can condition on passages drawn from an index. JSON Lines says a file may hold one JSON value per line and says nothing about how long that value should be. This page does not paste the note, does not recommend a token count, and does not treat a line break as a semantic boundary. The ceiling is the span that was stored. Everything the model says afterward is downstream of that span. A reader who starts with the prompt has started too late. The documents agree on that order even though they do not agree on a number, because only one of them is even in the business of strategies, and this page has not copied its table.