Google Cloud Partner
Re-platform your OpenAI-API applications onto Vertex AI, model calls, RAG pipelines, embeddings, fine-tunes and agents moved to Gemini and Model Garden with managed MLOps and no single-model lock-in. Delivered by a Google Cloud Partner.
Yes, you can move OpenAI-API applications to Vertex AI. It is a code re-platform, not a data lift: Codimite, a Google Cloud Partner, maps your OpenAI chat and completion calls to the Vertex AI / Gemini API, re-generates embeddings on Vertex AI, re-points RAG at Vertex AI Vector Search, and re-tunes prompts for the target model, then validates output parity per use case before cutover.
Why migrate
Gemini plus open and third-party models in one platform, switch models without re-architecting.
Native grounding on Google Cloud and BigQuery data, with Vertex AI Vector Search for retrieval.
Monitoring, evaluation, IAM and data residency under one Google Cloud control plane.
Per-token pricing across the Gemini family is competitive for many workloads.
Vertex AI is where Codimite builds ADK + n8n agents on top of your models.
What we re-platform
| OpenAI component | Migrates to Vertex AI | Notes |
|---|---|---|
| Chat / completions calls | Vertex AI / Gemini API | SDK calls rewritten; prompts re-tuned per model |
| Embeddings | Vertex AI embeddings | Re-generated & re-indexed, not portable across models |
| Vector store / RAG | Vertex AI Vector Search | Pipeline re-pointed and re-tested |
| Fine-tunes | Vertex AI tuning | Re-trained on the target model |
| Assistants / function calling | Gemini function calling / ADK agents | Re-implemented; Codimite uses ADK + n8n |
| Keys, quotas & governance | Google IAM / quotas | Re-provisioned under Google Cloud |
Embeddings are model-specific and must be regenerated, they cannot be copied across providers.
Our process
We inventory every OpenAI call site, RAG pipeline, fine-tune and agent, and rate effort and risk.
We map each call and component to its Vertex AI / Gemini equivalent and pick target models.
We rewrite SDK calls, re-generate embeddings, re-point RAG, and re-implement agents.
We run a head-to-head evaluation against the OpenAI baseline to confirm output quality.
Traffic shifts to Vertex AI with feature flags and rollback.
We tune prompts, model choice, cost and latency, and wire monitoring.
Why Codimite
Vertex AI, Gemini and Google ADK are our daily stack, delivered as a Google Cloud Partner: we evaluate output quality against your current OpenAI baseline before cutover, rebuild assistants as ADK + n8n agents, and confirm the target model meets your bar first.
Get a QuoteGoogle Cloud Partner. Vertex AI, Gemini and Google ADK are our daily stack.
Parity-first. We evaluate output quality against your current OpenAI baseline before cutover.
Agent engineering. We rebuild assistants and function-calling apps as ADK + n8n agents.
Honest scoping. We concede the OpenAI ecosystem's maturity and confirm the target model meets your bar first.
FAQs
Yes, it is a code re-platform. Calls map to the Vertex AI / Gemini API, embeddings are re-generated, RAG is re-pointed at Vertex AI Vector Search, and prompts are re-tuned.
Medium. API surfaces differ, prompts need re-tuning, and fine-tunes and vector stores are rebuilt.
Vertex AI embedding models plus Vertex AI Vector Search. Embeddings are regenerated and re-indexed because they are model-specific.
OpenAI has large model mindshare and a mature tooling ecosystem, a real strength. We confirm the target Gemini or Model Garden model meets your quality bar in a parity pilot before committing.
Days to weeks for one app; weeks to months for a portfolio with RAG, fine-tunes and agents.
Comparing the managed ML platforms? Read Vertex AI vs SageMaker: Compared (2026) for the platform-level view.
Codimite, a Google Cloud Partner, re-platforms your OpenAI-API apps onto Vertex AI, model calls, RAG, embeddings and agents, with a parity pilot against your OpenAI baseline before cutover. Start with a free quote.
Get a Quote
