Empower Your Contact Center with Human-Like AI Conversations
Deliver faster resolutions, lower costs, and better CX without hiring another agent.
Enterprise Bot, based in Switzerland, is a pioneer in Conversational AI, Process Automation, and Generative AI. With the trust of esteemed enterprise giants across industries like Generali, SIX, SBB, DHL, and SWICA, Enterprise Bot is revolutionizing both customer and employee experiences. Through its advanced integration with Large Language Models (LLM) such as ChatGPT and Llama 2, and its unique patent-pending DocBrain technology, the company delivers unparalleled personalization, active engagement, and omnichannel solutions across platforms like email, voice, and chat. Furthermore, Enterprise Bot integrates with existing core systems, such as SAP, CRMs, Confluence and more, and with its proprietary middleware, Blitzico, enables the AI to not only respond to queries but also take action to resolve them. This dedication to innovation in four main use case areas, Customer Support, Sales and Marketing, Knowledge Management and Digital Coworker, elevates both CX and employee productivity.
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Main repository for the Sphinx documentation builder
...Easy definition of a document tree, with automatic links to siblings, parents and children. General index as well as a language-specific module index. Automatic highlighting using the Pygments highlighter. Automatic testing of code snippets, the inclusion of docstrings from Python modules (API docs), and more.
Hylt is a file format that provides HYperLinked Text with minimal markup, meant to be both easy to view in any program and easy to keep in a version control system. The Hylt project covers the file specification, viewers, and tools to manage Hylt files.
The pydoc module, distributed bundled with python, proved extremely helpful in handling documentation strings included in python scripts. This project proposes a clean up of the code as well as add new capabilities, with python version 2.6 as a target.
EurekA is a knowldege base system primarily developed in python with MySQL as the database, SQLObject module as the DB API and CherryPy+Genshi as the frontend. The main aim of this project is to provide a dynamic Knowldege Base system that caters to the
Pythonmodule and program to extract documentation strings from python functions, classes, and methods and transform them into LaTeX, PDF, HTML, or HTB (wxWidgets help viewer) documents. All file distributions contain compiled help files in PDF and HTB.
System to assist with the management of a local Buddhist study library. Will download and install chosen documentation (sutras, etc), index them, and provide a web interface. Python, HTML. Needs a webserver, namazu. Can be used for other documents, too.