最详细的文本分块(Chunking)方法，直接影响LLM应用效果 - 知乎
在构建RAG这类基于LLM的应用程序中，分块（chunking）是将大块文本分解成小段的过程。当我们使用LLM embedding内容时，这是一项必要的技术，可以帮助我们优化从向量数据库被召回 …
How to Chunk Text Data: A Comparative Analysis
2024年8月2日 · Text chunking is a fundamental process in Natural Language Processing (NLP) that involves breaking down large bodies of text into smaller, more manageable units called …
Chonkie：一个极速且轻量级文本分块的革命者，解锁 RAG 分块多 …
2024年11月16日 · Chonkie是为RAG任务设计的 轻量级 文本分块库，以快速性能和易于使用著称，旨在解决传统文本分块库的效率和体积问题。 核心特点包括多种分块器、9.7MB的轻量级安 …
文本分段Chunking综述-RAG - CSDN博客
2024年10月29日 · ChunkRAG的目的是借助一种新颖的细粒度过滤机制，来降低检索增强生成（RAG）系统所生成回应中的不相关性与幻觉。 分为两个阶段：语义分块与高级过滤上图展 …
Text Chunker: Your Online Solution for Text Splitting and AI …
Our tool helps you split large bodies of text into smaller chunks based on a user-defined token limit. It's particularly useful when dealing with AI models with a maximum token limit, such as …
How to Chunk Text Data – A Comparative Analysis
2023年7月20日 · In this article, we’ll explore and compare these two distinct approaches to text chunking. We’ll represent rule-based methods with NLTK, Spacy, and Langchain, and contrast …
How Chunking Helps Content Processing - Nielsen Norman Group
2016年3月20日 · Summary: Chunking is a concept that originates from the field of cognitive psychology. UX professionals can break their text and multimedia content into smaller chunks …
Breaking Down Text: Exploring Multiple Chunking Methods for
2024年3月27日 · Paragraph-level chunking in Python involves splitting a text document into segments based on paragraphs. You can achieve this using various techniques, such as …
From Fixed-Size to NLP Chunking - A Deep Dive into Text Chunking …
2023年9月11日 · By understanding how to effectively chunk text, we can improve the way we index documents, handle user queries, and utilize search results. Ready to uncover the …
MoC: Mixtures of Text Chunking Learners for Retrieval …
2025年3月12日 · To address the inherent trade-off between computational efficiency and chunking precision in LLM-based approaches, we devise the granularity-aware Mixture-of …
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