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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.
whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples....
Personnal or familly wiki with low ressource requirement.
Personal lightweight wiki based on DidiWiki. Upgraded to accept text and highlight color, image resize and video (youtube, dailymotion...) embedded. Written in C, doesn't require a lot of RAM. Works fine on Raspbian (Raspberry Pi).
Example of Ciwiki running on Raspberry Pi B+ (700MHz, 512MB):
http://inphilly.dyn.dhs.org