Service · 10 to 15 days

AI agent & RAG POC on your data

Want to validate an AI use case on your real data before investing heavily? SeedVision delivers a working AI agent or RAG pipeline in 15 days at most, deployed to staging, with a customer-ready demo.

→ A POC running on your real data, not a laboratory mock-up.

Page last reviewed on 11 August 2026

Who the Agent & RAG POC engagement is for

You've identified a priority use case, after an audit or internally
You need to convince your committee before committing an industrialisation budget
You have a document corpus (PDFs, intranet, Confluence, tickets) to leverage

When Agent & RAG POC is not the right engagement

You do not have a usable document corpus yet: start with the audit, which measures the real state of your sources
You expect a production-ready platform: that is what the industrialisation offer is for, not a POC

How the Agent & RAG POC engagement runs

Days 1 and 2 — Data scoping — Source inventory, security constraints, language model choice, vector database choice.
Days 3 to 7 — Agent or RAG build — Indexing, prompts, LangChain or LangGraph chains, initial guardrails.
Days 8 to 11 — Evaluation — Quality test set, hallucination measurement, cost and latency optimisation.
Days 12 to 15 — Demo and handover — Staging deployment, demo interface, documentation, readout with industrialisation recommendations.

What Agent & RAG POC delivers

Working AI agent or RAG pipeline on your data
Indexed vector database (pgvector, Pinecone or Qdrant depending on the architecture)
Staging deployment (Kubernetes or serverless cloud)
Demo interface (web or API)
Technical documentation of the architecture
First quality, cost and latency measurements

Agent & RAG POC: what the engagement expects from you

A representative set of documents, even partial, and permission to index it
A business expert available half a day per week to judge the answers: without a business judge, a POC proves nothing
A decision on model hosting before day one: proprietary model, or open model on your own infrastructure

What you gain

Fast validation — Fifteen days to know whether your use case holds, instead of three months of informal prototypes.
Real data — No toy public dataset. SeedVision indexes your actual documents, under your actual conditions.
Industrialisation-ready — The POC is structured to flow directly into industrialisation. No full rewrite needed.

Questions about Agent & RAG POC

Is my data sent to OpenAI or Anthropic?

You choose. SeedVision can deploy proprietary models (Claude, GPT) or open models (Mistral, Llama) hosted on your own infrastructure. Sovereignty is settled on day one.

How many documents can the POC index?

A typical POC indexes up to 10,000 documents to stay within the time budget. Beyond that, we move to the industrialisation offer with incremental ingestion.

What happens at the end of the POC?

Three clear options: industrialise with the dedicated offer, iterate on another use case with a new POC, or stop if the ROI isn't there. No contractual lock-in.

What if answer quality stays too low?

The POC says so with measurements rather than impressions: test set, hallucination rate, cost and latency. A use case that does not reach the expected level is a result — and it costs fifteen days instead of a year.

Can the POC be shown to end customers?

Yes: it is deployed to staging with a demo interface. It is not sized for open, permanent usage — monitoring, guardrails and load handling come with industrialisation.

Case studies built on Agent & RAG POC

Talk about your project

Considering the Agent & RAG POC engagement (10 to 15 days) — write to contact@seedvision.fr — reply within 24 hours.