#Data Extraction

The repository facilitates the creation and search of vector databases to enhance context retrieval across various document types, thereby refining responses of large language models. Key features encompass extracting text from formats such as PDF and DOCX, summarizing images, and transcribing audio files. It supports text-to-speech playback and is compatible with CPU and Nvidia GPU, with additional support for AMD and Intel GPUs in progress. Tailored for retrieval augmented generation, this tool minimizes hallucinations in language model outputs and supports comprehensive functionalities from file input to vector database management.

AutoNode streamlines web interactions using cognitive GUI automation with OCR and YOLO for object detection. Easily integrate with Python and Docker. Create a JSON-based site-graph to effectively automate tasks. AutoNode also supports training custom YOLO models for better object identification on webpages, offering scalable automation with remote hosting capabilities.

The application offers fast preview and validation for large CSV files, detecting delimiters automatically. It supports scalable preview from 100 to 1000 partitions and introduces a framework for data transformation across various platforms. Compatible with Golang, Rust, and Python, it efficiently optimizes large-scale data processing.