Quickly build a vector database from stored files with Telnyx Embeddings API. Our intuitive platform makes it easy to embed documents for context-rich inference.
Reach out to our team of experts
Embeddings are numerical representations of data essential for AI's contextual understanding, powering applications like chatbots and fraud detection. But the costs and computational resources required for scalable embeddings are a challenge for businesses trying to harness the full potential of AI.
Telnyx Embeddings API allows users to embed data stored in Telnyx Cloud Storage with the click of a button. Dedicated infrastructure powers scalable embeddings via API so businesses can create vector databases that can offer additional context for Inference, boosting the intelligence of AI applications.
At over 90% cheaper than competitors, Telnyx empowers our users to embed and store vast amounts of data, enhancing the effectiveness of GenAI applications.
Prime data for fast inference with an intuitive and cost-effective embeddings API.
Quickly perform embeddings on stored documents, at scale. Our dedicated infrastructure and OpenAI-compatible APIs power fast embedding for all your files.
Whether testing in the portal or deploying to prod via API, our intuitive platform means you don’t have to waste time on MLOps.
At up to 50% cheaper than competitors, Telnyx allows you to build a vector data base without breaking the bank.
BENEFITS
Summarize effortlessly
Instantly summarize internal documents to extract the most important information or condense for sharing with stakeholders
300
pages summarized instantly
Build your vector database
Store unlimited vectors in Cloud Storage for fast, contextualized inference.
PB
scale storage
Embed your stored data at 50% less than OpenAI
Starting at
$0.00005
per 1K tokensTake a look at our helpful tools to get started
Quickly embed your storage buckets with the click of a button in the portal.
We’re looking for companies that are building AI products and applications to test our new Sources and Inference products while they're in beta. If you're interested, get in touch!