Fast embeddings and
search at infinite scale
Rapidly process millions of data points using any embedding model.
++++Infrastructure built for performance and flexibility
Accelerate initial queries
With optimized cold starts and elastic autoscaling, you can rapidly process entire databases, serve bursts of requests, or scale down to zero to save on costs.
Use any embedding model
Ship custom Docker images, package any AI model using our open-source Python library, Truss, or use Baseten Chains for ultra-low-latency compound AI.
Customize your inference
At Baseten, you have full control over how you balance performance, cost, and accuracy. Our engineers are obsessed with meeting or exceeding your success criteria.
++++Powering embeddings and search at massive scale
Auto-scale to peak load
Deliver fast response times under any load with rapid cold starts and elastic autoscaling.
Ship low-latency pipelines
Pass embeddings to any model or processing step, each equipped with custom hardware and autoscaling using Baseten Chains.
Production-grade reliability
Reliably serve customers anywhere in the world, any time, backed by our five 9's uptime and global deployment options.
++++Any model, any application, custom inference
Semantic search
Get ultra-low-latency, high-quality search with any model series, including BAAI General Embedding (BGE), Stella, and SFR-Embedding models.
Recommender systems
Enable real-time RecSys experiences even during peak demand, with fluid autoscaling for any dataset size or traffic level.
RAG
Easily leverage embeddings to enhance your LLMs while keeping latency low using Baseten Chains.
Topic modeling
Process massive databases quickly and cost-efficiently with out-of-the-box performance optimizations and dedicated engineering support for rapid topic modeling.
Custom models
Deploy any open-source, closed-source, fine-tuned, or custom embedding model tailored to your use case and performance targets, including Nomic, NV-Embed, and Voyage model series.
Get started
Embeddings on Baseten
Try Baseten Cloud
Deploy an open-source embedding model in two clicks from our model library.
Build performant pipelines
Implement low-latency embedding pipelines with our compound AI framework, Chains.
Proven outcomes
See how Writer increased throughput and lowered costs for their custom LLMs.
Inference for custom-built LLMs could be a major headache. Thanks to Baseten, we’re getting cost-effective high-performance model serving without any extra burden on our internal engineering teams. Instead, we get to focus our expertise on creating the best possible domain-specific LLMs for our customers.
