Chunking
Chunking at Beyond Market Intelligence is a file of 3 stories. The newest of them: “Discover how open-weight TTS brings expressive narration to your local machine.”, “Row-Level Chunks Deliver the Exact Table Data You Need”, and “When to choose GraphRAG over vector search for deeper insights”. TontaubeV1 takes a character-level approach to text-to-speech, and that decision is worth pausing on. Tables are rarely retrieved in pieces. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every Chunking story on Beyond Market Intelligence, newest first.
Discover how open-weight TTS brings expressive narration to your local machine.
TontaubeV1 takes a character-level approach to text-to-speech, and that decision is worth pausing on. Most modern TTS models lean on the backbone tokenizer, but the team behind this release found that forcing character-by-character tokenization kept the model more stable and made the mapping from text to sound more direct. It is a thoughtful response to a real problem, especially for long-form narration where rare token combinations can trip up generation. The chunking and position scheme is just as deliberate.
Row-Level Chunks Deliver the Exact Table Data You Need
Tables are rarely retrieved in pieces. But when a document stores data in rows, each row carries its own context: the column headers that give it meaning. That row becomes a chunk, and it is often the exact unit the reader needs. Row-level chunks should be treated as a retrieval standard, not a workaround. It is a practical reframing of RAG, and it pairs well with our earlier look at how paragraph structure shapes token navigation.
When to choose GraphRAG over vector search for deeper insights
Forget the hype about GraphRAG being a universal upgrade. The evidence is clear: it's a specialized tool, not a replacement for standard retrieval. Microsoft's own research shows it crushes vector RAG on global, sensemaking questions, winning up to 83% of comparisons, but on simple fact lookups, the two are effectively tied. The real takeaway isn't about choosing sides. It's about building a router that sends each query to the method it deserves. That's how you get the gains without paying for indexing you don't need.