Integrations

Mux

Turn every Mux video into a searchable, intelligent asset

Sync videos from Mux into Mixpeek for automatic multimodal extraction — scene understanding, object detection, face identity, OCR, and transcription. Build visual search retrievers that let users find the exact frame, scene, or spoken word across your entire video library.

• 95% Less manual review
• 0 Manual indexing steps
• 40–60% Lower processing costs

Backblaze B2

S3-compatible AI pipelines at 1/5th the storage cost

Connect Backblaze B2 buckets to Mixpeek for automatic multimodal extraction at a fraction of AWS S3 prices. Store your videos, images, and documents in B2, run feature extractors and embeddings through Mixpeek, and write indexed results back to B2 — with zero egress fees through Bandwidth Alliance partners.

• 75% Lower storage costs
• $0 Egress fees
• 0 Code changes required

Iconik

Set-and-forget media intelligence for your entire Iconik library

Connect Iconik to Mixpeek and every asset in your DAM becomes searchable by what's inside it — scenes, faces, objects, spoken words, and on-screen text. Sync runs continuously in the background. New uploads are indexed automatically. Deleted assets are cleaned up. No manual tagging, no maintenance.

• Find the exact shot without scrubbing
• Verify talent and brand usage across libraries
• Unlock assets that were buried and forgotten

Together AI

Generate embeddings with Together AI's open-source models and upsert directly to MVS

Generate embeddings with 50+ open-source models hosted on Together AI — BGE, Llama, Mistral, and more — then upsert directly to MVS. No GPUs to manage. Swap models by changing one parameter. Go from text to searchable vectors in three API calls.

• $0 GPU infrastructure cost
• 50+ Open-source models available
• <5 min Time to first search

Fireworks AI

Sub-10ms embedding inference with Fireworks AI, stored and searched in MVS

Sub-10ms embedding generation on Fireworks AI's optimized infrastructure, paired with MVS's sub-50ms vector search. The full query path — embed, search, return ranked results — completes in under 100ms. Serverless scaling from zero to burst, pay-per-use.

• <10ms Embedding latency
• <100ms End-to-end query time
• 0 Cold starts

AWS Bedrock

Use Amazon Titan or Cohere embeddings via Bedrock with MVS for enterprise vector search

Generate embeddings inside your AWS account via Bedrock — Amazon Titan, Cohere Embed, or any supported model. IAM controls access, VPC endpoints keep traffic private, CloudTrail logs every call. MVS adds vector storage, indexing, and retrieval on top.

• 100% AWS-native security
• SOC2/HIPAA Compliance ready
• 3+ Embedding providers