NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Content-Addressable Data Synchronization Tool

An extensible Java framework for building event-driven applications that break up XML and non-XML data into chunks for data integration

Fully neural approach for text chunking

A fast, lightweight and easy-to-use Python library for splitting text into semantically meaningful chunks.

Alternative casync implementation

The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

A package for parsing PDFs and analyzing their content using LLMs.

A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.

A new chunking strategy developed by ZeroEntropy for general semantic chunking using Llama-70B.

🍱 semantic-chunking ⇢ semantically create chunks from large document for passing to LLM workflows

a modular multimodal framework for ai applications

An LLM GUI application; enables you to interact with your files, offering dynamic parameters that can modify response behavior during runtime.

Live TS segmenter and HLS manifest creation in Go

Postgres extensions to support end-to-end Retrieval-Augmented Generation (RAG) pipelines

webpack 2, react hotloader 3, react router v4, code splitting and more

An asynchronous event-driven HTTP client based on netty.

📑 Split Laravel jobs into multiple separate job chunks

Грамматический Словарь Русского Языка (+ английский, японский, etc)

Fast multi-threaded content-dependent chunking deduplication for Buffers in C++ with a reference implementation in Javascript. Ships with extensive tests, a fuzz test and a benchmark.