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Case StudyComing Soon

Omnivec

A knowledge API that lets developers search across text, images, audio, and video in one unified system. True cross-modal search, not transcription workarounds.

The Problem

Business data isn't just text

Companies have knowledge spread across documents, images, audio recordings, and video. Current RAG solutions only handle text. To search across other formats, you need to transcribe audio, describe images, and process video separately, then hope the text-based search picks up what you need.

This means separate models, separate pipelines, and a lot of meaning lost in translation. A photo of a product doesn't search the same way as a description of it.

The Solution

One vector space for everything

Omnivec uses natively multimodal embeddings to map text, images, audio, video, and documents into a single vector space. No transcription. No separate pipelines. A photo and its description live in the same space because the model understands both natively.

Developers upload their data, and Omnivec handles the rest. Two endpoints: /retrieve for raw context, /ask for end-to-end answers. That's it.

Key Features

What makes it different

True Multimodal Embeddings

Text, images, audio, video, and PDFs all mapped into one unified vector space. Not transcription-based workarounds. Actual cross-modal understanding.

Cross-Modal Search

Search with an image to find related audio. Search with text to find matching video frames. Search with a voice note to find relevant documents. Any modality to any modality.

Two Simple Endpoints

Upload your data, then use /retrieve for raw context or /ask for end-to-end answers with an LLM. No complex setup, no infrastructure to manage.

One Model Replaces Five

No separate pipelines for text, images, audio, and video. One embedding model handles everything, cutting complexity and cost dramatically.

Status

MVP built, launching soon

The core engine is built and working. Omnivec handles upload, embedding, and retrieval across all modalities. The platform is being finalized for public launch with developer documentation and SDKs.

Want early access?

Omnivec is launching soon. Get in touch to be among the first to try it.