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Context for your AI agents
Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.
Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
GoogleTest is Google's C++ mocking and test framework. It's used by many internal projects at Google, as well as a number of notable projects such as The Chromium projects, the OpenCV computer vision library, and the LLVM compiler.
This GoogleTest project is actually a union of what used to be two separate projects: the old GoogleTest and GoogleMock, an extension of GoogleTest for writing and using C++ mock classes. Since they were so closely related, they were merged to create an even...
QTest is a perl-based test framework for testing programs written in any language. It supports a "design for testability" mentality, user-defined test coverage, filters, and multithreading support. Includes documentation.
Advanced C/C++ library(ACL) for UNIX-like OS and WIN32 OS, including sync/async/ssl iostream for net/file, thread pool, process pool, db pool, server framework, event, memory, string, array/hash/ring/list, xml and json parser, http/smtp/icmp protocol, SSL/TLS, C unit test, etc
The Software Testing Automation Framework (STAF) is a framework designed to improve the level of reuse and automation in test cases and test environments. The goal of STAF is to provide a complete end-to-end automation solution for testers.
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Test automation framework, for building fast, re-usable and reliable system tests under windows OS. It includes a tool for developing automation in .NET, and a GUI tool to compose automation with no coding skills. Learn more: http:/qaliber.org