MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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Source for the TechEmpower Framework Benchmarks project
If you're new to the project, welcome! Please feel free to ask questions here. We encourage new frameworks and contributors to ask questions. We're here to help! This project provides representative performance measures across a wide field of web application frameworks. With much help from the community, coverage is quite broad and we are happy to broaden it further with contributions. The project presently includes frameworks on many languages including Go, Python, Java, Ruby, PHP, C#,...
A RESTFul/JSON Web Service for text and metata extraction
An open source RESTFul Web Service for text , meta-data extraction and analysis.
oss-text-extractor supports various binary formats:
Word processor (doc, docx, odt, rtf)
Spreadsheet (xls, xlsx, ods)
Presentation (ppt, pptx, odp)
Publishing (pdf, pub)
Web (rss, html/xhtml)
Medias (audio, images)
Others (vsd, text)
A powerful but lightweight configuration-, dependency-injection-, and scripting framework for the JVM, leveraging a combination of annotations and the standard Javascript engine framework to provide self-validating scriptable configuration files