Partnerships
Learn how to build a semantic video search engine with the powerful integration of Twelve Labs' Embed API with ApertureDB for advanced semantic video search.
We combine Twelve Labs' rich, contextual embeddings with Pinecone's vector database to store, index, and query these video embeddings, creating a powerful video chat application.
Combine Twelve Labs' video embedding model with Roe AI's data management and search capabilities.
This article guides developers through integrating Twelve Labs' Embed API with Databricks Mosaic AI Vector Search to create advanced video understanding applications, including similarity search and recommendation systems, while addressing performance optimization, scaling, and monitoring considerations.
Leverage Twelve Labs Embed API and LanceDB to create AI applications that can process and analyze video content with unprecedented accuracy and efficiency.
Harness the power of Twelve Labs' advanced multimodal embeddings and Milvus' efficient vector database to create a robust video search solution.
Learn how to create a powerful semantic video search application by combining Twelve Labs' advanced multimodal embeddings with MongoDB Atlas Vector Search.
The collaboration between Phyllo and Twelve Labs is set to revolutionize how we derive insights from video content on social media
Twelve Labs will co-host our first in-person hackathon in Los Angeles!
Explores the benefits of semantic search in post-production, the key technologies powering it, how it integrates with media asset management systems, and where it's headed in the future.
A beginner guide to video understanding for M&E with MASV and Twelve Labs
A Twelve Labs and MindsDB Tutorial
A Twelve Labs and FiftyOne Plugin Tutorial
Twelve Labs will co-host our first in-person hackathon in San Francisco!
This article examines the technical challenges of video data management and looks at how ApertureDB and Twelve Labs help solve them
