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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
"Swish-e is a fast, flexible, and free open source system for indexing collections of Web pages or other files" (http://swish-e.org/ ) This module provides a Python API for this software.
GOOPY: Pythonmodule to search google (with CLI included). With the module you can create python programs that can access google results. The CLI allows you to surf google without leaving bash!
PYIGS is a Python package that provides an interface to Google! Suggest results. It may be run standalone or incorporated as a module.
Currently it supports a basic query, with or without result match listings.
Later it will include a caching server.
JeeZez is a distributed information mangement/publishing framework. Currently the focus is to develop a module for software-management, but more modules will follow.
Sales CRM and Pipeline Management Software | Pipedrive
The easy and effective CRM for closing deals
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