Workflow
RAG & Knowledge Retrieval providers
Every model provider on LLMAPI tagged “RAG & Knowledge Retrieval” — 9 of 50 providers. All of them run through one API key and one OpenAI-compatible endpoint.
Providers listed9
Models reachable77
Filters available84
IntegrationOne OpenAI-compatible endpoint
9 providers matching this filter.
| Provider | Models | Regions | Best for | |
|---|---|---|---|---|
OpenAI GPT series, o-series reasoning models, and multimodal APIs. |
15 | US, EU | General-purpose chat, multimodal apps, and the widest tooling ecosystem | View → |
Google Gemini models via AI Studio and Vertex AI. |
7 | Global | Multimodal workloads and very long context at aggressive price points | View → |
Mistral Efficient open and commercial models from Paris. |
10 | EU, US | Price-performance and EU data-residency requirements | View → |
Alibaba Cloud Qwen models plus a full Model Studio platform. |
10 | APAC, Global | APAC-focused apps and multilingual workloads with Qwen models | View → |
Cohere Enterprise-focused Command models and embeddings. |
7 | US, EU | Enterprise RAG, search, and reranking pipelines | View → |
Upstage Solar models and document AI. |
3 | APAC, US | Document parsing and lightweight enterprise chat | View → |
 Amazon Bedrock AWS managed access to many foundation models. |
12 | Global (AWS) | AWS-native teams needing many models behind one API | View → |
Microsoft Azure Azure OpenAI Service and model catalog. |
9 | Global (Azure) | Enterprises needing OpenAI models with Azure compliance | View → |
Databricks Model serving inside the data lakehouse. |
4 | Global | Serving and fine-tuning models where your data already lives | View → |
One key, every provider on this page
Consolidated billing, spend limits and instant fallback between providers.