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I will build a genai or llm application on google cloud platform with vertex ai
LSI Analytics
Vetted Pro
Level 1
Vetted by Fiverr Pro
LSI Analytics was selected by the Fiverr Pro team for their expertise.
About this gig
Do you want to build an AI application on Google Cloud a chatbot that knows
your business data, an LLM that answers from your documents, or an AI agent
that automates a workflow using Gemini?
You're in the right place.
LSI Analytics is a Germany-based AI and data engineering team specialising
in LLM applications, RAG pipelines and GenAI systems on Google Cloud Platform
and Azure. We have delivered AI solutions for clients across finance, education
and e-commerce.
Right now we are building AI systems for clients in aviation and manufacturing
not demos, but production builds in active use.
What we build on GCP:
- Vertex AI Gemini integration for chat and analysis
- RAG pipelines using Vertex AI Search and BigQuery or GCS as knowledge base
- BigQuery as a direct RAG source structured data into Gemini answers
- LangChain / LangGraph agent systems deployed on Cloud Run
- GCP Document AI for PDF, DOCX and audio transcription pipelines
- Monitoring and evaluation pipelines for LLM output quality
Please message before ordering we confirm your use case and GCP stack first.
Get to know LSI Analytics
LSI Analytics
Vetted Pro
AI and Data Solutions That Actually Ship
Level 1
LSI Analytics is part of the Fiverr Pro catalog and has been hand-picked by a dedicated Fiverr Pro team for their skills and expertise.
Vetted for
AI Development
Chatbot Development
Data Engineering
Data Science & ML
- FromGermany
- Member sinceJul 2023
- Avg. response time2 hours
- Last delivery5 days
Languages
English, Tamil, German, French
We build AI and data solutions that solve real business problems —
not demos, not templates, not generic overviews.
What we deliver:
- RAG chatbots using Azure OpenAI, Gemini or Claude
- Microsoft Fabric, Azure, AWS & GCP data pipelines
- Custom ML models for prediction & forecasting
- AI strategy consulting with a written action plan
Who we work with:
Finance, Operations and IT teams — DACH and international.
Vetted Fiverr Pro · GDPR-first · EU data residency · Azure · AWS · GCP · Source code always included · English, German, Tamil, French.
Message before ordering — free, no obligation.
FAQ
Which GCP AI models do you work with?
Gemini 2.5 Pro, Gemini 2.5 Flash and open-source models via Vertex AI Model Garden including Mistral and Llama. We also use text-embedding-004 for vector search. Model selection depends on your cost, quality and latency requirements — we advise upfront.
Can you build a RAG chatbot using our internal documents?
Yes — this is the Vertex RAG Build package. You provide your documents (PDF, DOCX, web pages, database exports) and we build the full ingestion, embedding, retrieval and generation pipeline on GCP. BigQuery tables can also be used as a source.
Will the AI data stay in the EU and be GDPR compliant?
Yes. We configure all Vertex AI and GCS resources in EU regions (europe-west1, europe-west4) by default. No data leaves the EU. This is critical for DACH financial services, healthcare and any organisation subject to GDPR obligations.
Can you integrate this with our existing GCP data platform or BigQuery?
Yes — BigQuery as a RAG knowledge source is a specific pattern we build regularly. If you already have structured data in BigQuery, we connect Vertex AI Search directly to it. No need to duplicate data into a separate vector store.
Can you also do this on Azure instead of GCP?
Yes. We offer a separate Azure RAG gig using Azure OpenAI, AI Search and Container Apps. Many clients run hybrid AI — GCP for data, Azure for AI endpoints. We advise on the right approach for your existing infrastructure before you order.
