Configuring your experiments just got a lot easier. The new side panel gives you a clear and organized overview of everything in your experiment, making setup and adjustments faster and more intuitive.
Knowledge Base chunks can now be enriched with metadata during creation via the Chunks API. When searching your Knowledge Base, you can filter results by metadata to target only the most relevant chunks—improving both accuracy and efficiency in retrieval.
With the launch of Claude 4 Sonnet and Opus, Anthropic has introduced its most advanced AI models yet.
We've enhanced the Playground experience by introducing interactive tool responses. When you're using tools (also known as function calls) within your workflow, you can now seamlessly provide the tool response back to the model, enabling continuous and efficient testing of your workflows.
OpenAI's latest models can be found in the model garden.
To ensure fair usage and consistent performance, we’ve introduced rate limits for all Orq.ai APIs on a per-account basis. This helps prevent server overload, reduces risk of abuse, and keeps costs manageable.
You can now enable Agentic RAG in your deployments to improve the relevance of retrieved context and the overall output quality.
We’ve added a new Threads view to help you make sense of multi-step conversations at a glance.
We’ve added Jina AI as a new provider, bringing a suite of high-performance models to the platform:
Previously, creating and managing a knowledge base required using the Orq UI. Users had to manually create a knowledge base, upload one file at a time, and define a chunking strategy per datasource. While simple, this process was time-consuming, especially for developers looking to scale or automate their workflows.
