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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.
The application takes the pseudo code as an input and generates the necessary C
code for the same logic. Thus the software can be used to produce the results just with
the use of logic and there is no special importance given to a specific language in which
the pseudo code should be implemented, instead there is a complete focus on the logic
itself. The system to be designed must be user friendly, so that even if the end user or
the client is technically illiterate he should be able to...
An implementation of the venerable MACRO assembler preprocessor from back in the mid 60's. It's interesting as a study of what was possible then, and how that
could be useful today.
Grab this to try your hand at developing a tool for Allura. Currently supports:
- python package setup
- simple per-project-installable Tool
- simple Ming/MongoDB model
- simple TurboGears Controllers
- simple Jinja templates