Examples
Dedicated provisioning is used for high-throughput or latency-sensitive applications. Whether you're processing large volumes of documents or streaming real-time events, having compute resources reserved just for your workload ensures performance and control.
This section provides hands-on examples for common use cases:
🔁 Batch Jobs
Run inference over thousands of documents in parallel with no rate limits. With LangChain’s batch()
support, you can efficiently summarize, classify, or extract data at scale.
⚡ Real-Time Streaming
Process live data streams (like Reddit comments or tweets) with consistent, low-latency inference. Ideal for chatbots, moderation tools, and classification pipelines.
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