ALucek/chunking-strategies
An Overview of the Latest Document Chunking Research
This project helps you prepare large text documents for use with AI systems like chatbots or question-answering tools. It takes your raw, unstructured text and breaks it down into smaller, optimized pieces that improve how accurately the AI can understand and respond to your queries. Anyone building or managing RAG (Retrieval Augmented Generation) applications, from content managers to data scientists, would find this useful.
No commits in the last 6 months.
Use this if you need to improve the accuracy and relevance of your AI's responses when working with large volumes of text.
Not ideal if your primary goal is simple text splitting without considering the impact on AI retrieval performance.
Stars
85
Forks
18
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 25, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/ALucek/chunking-strategies"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
chonkie-inc/chonkie
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust...
speedyk-005/chunklet-py
One library to split them all: Sentence, Code, Docs. Chunk smarter, not harder — built for LLMs,...
jchunk-io/jchunk
JChunk is a lightweight and flexible library designed to provide multiple strategies for text...
andreshere00/Splitter_MR
Chunk your data into markdown text blocks for your LLM applications
chonkie-inc/chonkiejs
🦛 CHONK your texts with Chonkie ✨ Type-friendly, light-weight, fast and super-simple chunking library