RAG-based-chat-with-pdf-using-llama3

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.

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.

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

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 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 modular multimodal framework for ai applications

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

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