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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.
Virtual Speech Mechanism System converts text to voice.
...It can convert text to speech either in interactive mode or take input from a TEXT file.
It's output can either be directed to speakers or saved as WAV file that can be played with any audio player. Output wave can be selected to be of channel 1 or 2. It is 2 by default.
The speech rate can be controlled by -10 to 10 points depending upon the requirements along with volume ranging from 0 to 100%.
VSMS uses a binary library called NIDHI named after famous Indi-Pop singer "Sunidhi Chauhan". It forms the core of VSMS around which the User Interface runs.