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Text splitting, or chunking, is usually the first in a RAG (Retrieval Augmented Generation) workflow. It simply means transforming long text documents to smaller chunks that are embedded, indexed, stored then later used for information retrieval.
29 Jan 2024
6 Jun 2024 · The most basic is to chunk text into fixed sizes. This works for fairly homogenous datasets that use content of similar formats and sizes, like ...
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Sliding window chunking is an text processing technique where text is divided into overlapping chunks using a predefined window size and a specific step size.
First things first, we have Character Chunking. This strategy divides the text into chunks based on a fixed number of characters. Its simplicity makes it a ...
21 Apr 2024 · In RAG, we take a list of documents/chunks of documents and encode these textual documents into a numerical representation called vector ...
15 May 2024 · We explored various facets of chunking strategies within Retrieval-Augmented Generation (RAG) systems in this guide.
23 Feb 2024 · Chunking involves breaking down texts into smaller, manageable pieces called "chunks." Each chunk becomes a unit of information that is ...
9 Aug 2023 · I'm trying to make an LLM powered RAG application without LangChain that can answer questions about a document (pdf) and I want to know some ...
20 Sept 2023 · In the context of Grounded Generation, chunking is the process of breaking down the input text into smaller segments or chunks. A chunk could be ...
19 Apr 2024 · Conventional chunking methods sometimes create chunks in a way that leads to loss of context. For instance, they might split a sentence in half ...