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embedding-first-chunking-second-smarter-rag-retrieval-with-max-min-semantic-chunking
id: embedding-first-chunking-second-smarter-rag-retrieval-with-max-min-semantic-chunking.md
Split
> **Comprehensive document chunking and splitting for optimal processing with 15+ methods including KG-aware, semantic, and structural chunking.**
语义块切分 Semantic Chunking
Text Splitting with LangChain
This document explains how to use LangChain's text splitters to divide documents into smaller chunks for better processing by Large Language Models (LLMs).
Massive JSON Kerchunking
!!! danger "Experimental"
elevellabs-chunking
This guide provides a comprehensive overview of how to leverage the ElevenLabs API to generate long-form, multi-host audio content. It is specifically tailored for integration into the existing `rhythm-lab-app`, building upon its current implementation of single-voice podcast generation. By the end of this guide, you will be able to create dynamic, conversational audio with multiple speakers, enhancing the immersive experience of your application.
Create a list that will hold your chunks
Once the data is loaded, the next step in the indexing pipeline is splitting the
Splitters
Splitters are pipeline components that divide large text content into smaller, manageable chunks. They help optimize content for processing, storage, and retrieval in AI applications by creating appropriately sized segments while preserving context and meaning.
BlobStore: Chunking & Verified Streaming
`snix-castore`'s BlobStore is a content-addressed storage system, using [blake3]
Semantic Chunking
This document defines a proposed chunking and indexing strategy for semantic search in `pginbox`.
AST-Based Chunking
CodeRAG uses Abstract Syntax Tree (AST) parsing to split code into semantic chunks rather than arbitrary character or line-based splits. This produces more meaningful search units.
Chunking Fundamentals
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🧠 Adaptive RAG Chunking System
The original system was creating too many tiny chunks (14 chunks for 1793 characters), fragmenting context and reducing answer quality. The new **adaptive chunking system** intelligently handles all document types with optimal chunk sizes.
ADR-002: AST-Pure Chunking
**Supersedes:** Previous `extractChunks()` + `splitLargeChunk()` approach
Task 8 — Default System Prompt: Chunked-Artifact Guidance
<!-- AGENT_TASK_START: task-8-system-prompt-chunking.md -->
chunking
I asked ChatGPT how we can chunk a YouTube transcript
SaltyRTC Chunking
This specification describes the binary data chunking algorithm used by
Chunking Strategies
LLMs have context limits. You can't pass an entire 200-page SEC filing to an LLM for entity extraction. Documents must be broken into smaller pieces—**chunks**—that fit within processing limits.
How-to: Customize Chunking Strategies
This guide shows you how to choose and configure different chunking strategies for your RAG pipeline. You can read more about why chunking matters in [Explanation: Understanding Chunking Strategies](../explanations/understanding_chunking.md).
STREAMING_CHUNKING
This document explains the new streaming/chunked data processing capabilities added to the analysis framework. The goal is to efficiently handle large datasets without exhausting RAM, while maintaining performance.
Document Chunking/Splitting in Langroid
Langroid's [`ParsingConfig`][langroid.parsing.parser.ParsingConfig]
语义块切分 Semantic Chunking
文本块切分是检索增强生成（RAG）中的关键步骤，其中将大文本体分割成有意义的段落以提高检索准确性。与固定长度块切分不同，语义块切分是根据句子之间的内容相似性来分割文本的。
Kerchunk
[kerchunk][kerchunk] supports cloud-friendly access of data
Annotation-Based Chunking
Ground-truth chunking for benchmarking using Voronoi boundaries with word alignment.