Stop Slicing Your Text Like Salami: A Better Approach to Semantic Chunking

This story was originally published on HackerNoon at: https://hackernoon.com/stop-slicing-your-text-like-salami-a-better-approach-to-semantic-chunking. Standard text chunking destroys context in vector search. Here is a runnable, dependency-free Python script to implement semantic sentence-grouping. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #data-engineering, #python, #natural-language-processing, #vector-database, #rag, #deep-learning, #semantic-chunking, and more. This story was written by: @ananya-soni-aisovere. Learn more about this writer by checking @ananya-soni-aisovere's about page, and for more stories, please visit hackernoon.com. You are ruining your vector search by blindly slicing text into arbitrary character limits. This article explains why standard chunking fails and provides a runnable, dependency-free Python script for context-aware sentence grouping that you can test right now.