MongoDB

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VideoDB is an AI-native video infrastructure that stores, indexes, and streams videos with real-time and batch processing. It converts unstructured video into structured, searchable data using vision-language models for semantic search, clip extraction, and more. Built for LLM and multimodal workflows, it integrates easily with RAG and GenAI pipelines, handling video ingestion, storage, and intelligent retrieval at scale.

Provides efficient file search and retrieval capabilities within a networked environment using TypeScript and Node.js, offering both standard and HTTP-based execution modes.

Connect to open data from millions of open government, NGO, and company datasets.

Integrates with Pushover.net to enable sending push notifications to various devices for real-time alerts and updates

Enables AI to query and analyze local documents and Git repositories through a RAG system built with TypeScript, LlamaIndex, and Gemini embeddings.