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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.
Combination of multiple linters to install as a GitHub Action
This repository is for the GitHub Action to run a Super-Linter. It is a simple combination of various linters, written in bash, to help validate your source code. The super-linter finds issues and reports them to the console output. Fixes are suggested in the console output but not automatically fixed, and a status check will show up as failed on the pull request. The design of the Super-Linter is currently to allow linting to occur in GitHub Actions as a part of continuous integration...
...You have spent countless hours finding the perfect JavaScript grammar, matching it with a sleek-looking VS Code theme, trying out all the best programming fonts. You take three days porting over your theme before starting to use VS Code. You shell out $200 for italic cursive html attributes. The code has to look right.
Often I have seen some Huge Maintenance Projects it is always very difficult to track the incremental files for each release and If we want to do that we need to checkout both the branches and use some UI based tool to get the diff of the files finally we end up waiting in front of the PC for a long time and do this job. In many cases we spend more than 2 hrs/day. The time increases if there are more such parallel releases and at the end of the day 1 developer does it as full time job and...
Run applications fast and securely in a fully managed environment
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
QB (Quellcode Bahn) is a software that manage the operations on the source of the programs you develop, with a versioned repository. QB manage the deploy of your program, taking it from the repository and putting it wherever you want with test phase.
Utility to fix common misspellings, typos in source codes. There are lots of typical misspellings in program codes. Typically they are more eye-catching in the living code but they can easily hide in comments, examples, samples, notes and documentations. With this utility you can fix a large number of them very quickly.
Be aware that the utility does not check or fix file names. It can easily happen that a misspelled word is fixed in a file name in a program's code, but the file itself...