Process Optimization
CHUNKING.md · 8 documents
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.
Create a list that will hold your chunks
Once the data is loaded, the next step in the indexing pipeline is splitting the
🧠 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.
Per-Example Level Test Chunking
This document describes the design for extending `calculate-optimal-chunks.ts` to support **per-example granularity** in test distribution, complementing the existing per-file approach.
Speichereffiziente PDF-Verarbeitung – Strategiebericht
**Datum:** 2026-03-10
chunking
!!! note "Chunking approaches"
time-chunking
Time Chunking, also known as task batching or batch processing, is a time management technique where you group similar tasks together and complete them in a dedicated block of time. This method minimizes context switching and maximizes efficiency.
chunking
Chunking is the process that decides which modules are placed into which bundles, and the relationship between these bundles.