videodb
VideoDB Documentation
videodb
VideoDB Documentation
Videos are inherently multimodal — they present both visual and audio content simultaneously, creating a unified experience. Our brains naturally use these modalities to store and retrieve information. With advancements in retrieval technology, we now have the opportunity to develop an assistant or agent that can mimic our cognitive processes for storing and retrieving information externally.
VideoDB allows you to index both spoken and visual content, creating a modular architecture optimized for multimodal search queries. This can significantly benefit your users by enabling them to:
Watch streams or footage instantly.
Extract information or content for their workflows.
Multimodal search and reasoning enable more human-like behaviors when retrieving information from videos. This approach offers various types of searches and solves a wide range of use cases. Let’s explore a few examples:
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Watch the footage instantly: Multimodal Search in Action:

Show me the footage of the suspects being caught on camera stealing at the mall and the news anchor discussing their identities.
This query is a classic example of a multimodal search as it seeks both visual content (the footage of the theft) and spoken content (the news anchor's discussion). The search engine needs to process video data for visual evidence and audio data for the spoken segment, making it a multimodal search.
These kind of queries are common in many critical scenarios, for example:
Law Enforcement: Helps in quickly retrieving crucial evidence from vast amounts of surveillance and news footage.
Media and Journalism: Facilitates the process of locating specific segments within hours of news broadcasts, aiding in efficient reporting and fact-checking.
Public Safety: Enhances the ability of authorities to disseminate important information to the public by quickly identifying and sharing relevant content.
Check
Multimodal Search: Quickstart
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notebook for the implementation.
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Extracting Content from the Screen: Enhanced User Experience

"What was on the screen when 'quantum entanglement' was spoken?"
Another powerful application of multimodal search and information retrieval lies in the ability to extract and share content displayed on screens. This feature is particularly useful for taking notes or sharing information with others, especially in dynamic and multimedia-rich environments. Some examples:
Educational Settings: A student is watching an online lecture and wants to capture the slide that was displayed when the professor mentioned "quantum entanglement."
Business Meetings: During a virtual meeting, a project manager wants to save the presentation slide that was shown when the team discussed "budget allocations."
Content Creation: A content creator is reviewing a webinar and wants to capture the visual content displayed when the speaker talked about "social media strategies."
Check
Conference Slide Scraper with VideoDB
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In this section, you'll find tutorials, notebooks, and blogs designed to help you unlock the potential of multimodal video retrieval for your video library. These resources will empower your Retrieval-Augmented Generation (RAG) pipeline, enhance AI-driven video content creation, and optimize the search for multimodal information.


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