2 posts tagged with "openai-compatibility"

We benchmarked OGX's RAG pipeline against OpenAI's file search across four BEIR retrieval datasets, MultiHOP RAG, and Doc2Dial. The results: OGX hybrid search beats OpenAI on 3 of 4 BEIR datasets, with up to 29.6% higher nDCG@10 on argument retrieval. Pair it with Gemma 31B and you get end-to-end RAG that exceeds GPT-4.1 by 81% on multi-hop reasoning, all running on your own infrastructure.

This isn't a synthetic demo. These are standard academic benchmarks, measured end-to-end through the same OpenAI-compatible APIs you'd use in production.

We're excited to share that OGX has achieved 100% compliance with the Open Responses specification and been officially recognized as part of the Open Responses community. This milestone represents more than just compatibility: it's about bringing enterprise-grade AI capabilities to your own infrastructure with the familiarity of OpenAI APIs.

With comprehensive support for Files, Vector Stores, Search, Conversations, Prompts, Chat Completions, the full Responses API, plus powerful extensions like MCP tool integration, Tool Calling, and Connectors, OGX offers something unique in the AI infrastructure landscape: a SaaS-like experience that runs entirely on your terms.