125 skills found · Page 5 of 5
carles-abarca / Docling RsNative Rust port of IBM's Docling document processing library. Convert PDF, DOCX, XLSX, PPTX, HTML, Markdown, and CSV to structured data for RAG applications.
digitorus / Md2csvConverts a Markdown document into a CSV file according to the index
twilson63 / Csv2jsonSimple Web Page that allows you to convert a csv to a json document
alexander-marquardt / Filebeat Csv To JsonConvert each line in a CSV file into a JSON document with the Keys extracted from the header row
senorkrabs / Aws TranscriptPython script that can process Amazon Transcribe JSON documents and generate CSV, TSV, and HTML files as output.
KonstantinSKS / Scrapy Parser Pep DataThe parser collects data about all PEP documents and saves lists to csv-file.
preston / User Story KitTurns simple user stories defined in .CSV files into human-readable, sorted Markdown documents.
Chukwuamaka / Csvtojson ConverterA Visual Studio Code extension that converts documents between CSV and JSON file formats.
mrankitvish / Rag ChatbotA FastAPI application that uses Retrieval-Augmented Generation (RAG) with a large language model (LLM) to create an interactive chatbot. This chatbot leverages PostgreSQL vector store for efficient document retrieval and supports text and CSV data sources for initialization.
Daniel-Kennison / RAG Chatbot Langchain GenaiThis project creates a chatbot that uses Langchain and APIs from OpenAI, Google, and Hugging Face. It lets users upload documents (txt, pdf, CSV, docx) and chat with their content to get accurate answers.
kupokev / Open Standard LibraryA library to create files in Open Document Standard (ods), Open Office XML (xlsx), and other standard formats such as CSV.
mylxsw / Extractorextractor is an HTTP service used to convert PDF, Markdown, HTML, Docx, Xlsx, CSV and other files into plain text output. It is used in RAG implementation to read external documents for vectorization.
MoAshour93 / Convert PDF Office Files To MarkDown CSV🔄 Streamlit-powered file conversion utility that transforms various document formats into Markdown and structured CSV data, with integrated LLM capabilities for automated Q&A generation - perfect for creating LLM fine-tuning datasets.
logfab-stack / Agentic Rag🤖 Agentic RAG - An intelligent document assistant with semantic chunking, hybrid search (vector + BM25), multi-format support (PDF, Word, CSV, Excel), and multi-channel bots (Telegram, WhatsApp). Built with FastAPI, React, PostgreSQL/pgvector, and LangChain.
Saisathvik94 / AI SummarizerAI Summarizer is a multi-format AI tool that extracts and condenses content from text, documents, images, and data files like CSV/XLSX. Built with modern web tech and advanced AI models, it instantly turns long or complex content into clear, digestible summaries through a simple and interactive interface.
mishraansuman / Google Form Auto InputThe ultimate solution for google form, if you have a bunch of data to fill in, is auto submission. This automation is required only two documents, one your spreadsheet(with any format Excel, CSV, or anything), and number two is the python script in left to make a copy and put them at their respective fields for Google Form.
nyaundid / Artificial Intelligence RNN Architecture....RMSE The dataset (TS_data_HW_18F.csv) on the Canvas contains various measurements (i.e. snow , temp. , etc) from a power plant for about 10 years. The last column is th e power generated on each day. Write a program using either MatLab or a ny programming language of your choice to perform a regression an alysis on this dataset using the RNN/LSTM/GRU approach. More specifically, train your RNN by setting your sequence lengt h = 30.Answer the following questions:1.Include a WORD document to describe your RNN architecture.2.Describe your sequence training steps in detail.3.Use the last 30-day data as test data. What is the total RMSE on your test data?Please make sure that you clearly describe how to interpret your RMSE.4.Create a figure that plots the test data and your prediction.5.Create another figure that plots the RMSE over time.
le0pard / LibreOfficeCSVGeneratorFill the documents by LibreOffice API and CSV
dangeabunea / EasyCsvA small, low ceremony library for parsing data from comma separated files
Uni-Creator / RAG MultiFile QAA RAG (Retrieval-Augmented Generation) AI chatbot that allows users to upload multiple document types (PDF, DOCX, TXT, CSV) and ask questions about the content. Built using LangChain, Hugging Face embeddings, and Streamlit, it enables efficient document search and question answering using vector-based retrieval. 🚀
