diff --git a/ai/gen-ai-agents/oci-rag-agent-blueprint/LICENSE b/ai/gen-ai-agents/oci-rag-agent-blueprint/LICENSE
new file mode 100644
index 000000000..afb508f9c
--- /dev/null
+++ b/ai/gen-ai-agents/oci-rag-agent-blueprint/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2026 Luigi Saetta
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/ai/gen-ai-agents/oci-rag-agent-blueprint/README.md b/ai/gen-ai-agents/oci-rag-agent-blueprint/README.md
new file mode 100644
index 000000000..3d06e1248
--- /dev/null
+++ b/ai/gen-ai-agents/oci-rag-agent-blueprint/README.md
@@ -0,0 +1,95 @@
+# OCI RAG Agent Blueprint
+
+This asset is a blueprint for building and deploying a Retrieval-Augmented
+Generation agent on OCI Enterprise AI.
+
+It provides a practical starting point for teams that want to move from
+document retrieval to a working agent experience, with local validation and a
+path to OCI Hosted Applications.
+
+Key features:
+
+- 🔎 OCI Vector Store retrieval for grounded answers over enterprise documents.
+- 💬 OpenAI-compatible Responses API integration for agent interactions.
+- ⚡ Streaming and non-streaming request handling.
+- 🧩 FastAPI backend with clear request and response contracts.
+- 🖥️ Next.js reference UI for local and hosted validation.
+- 🧪 Python CLI client, schemas, specs, and tests for repeatable checks.
+- 🚀 Agent Factory workflow for OCI Enterprise AI Hosted Applications.
+
+## Link to the original repo
+
+[https://github.com/luigisaetta/oci-rag-agent-blueprint](https://github.com/luigisaetta/oci-rag-agent-blueprint)
+
+Author: L. Saetta
+
+Reviewed: 06.07.2026
+
+## Who should use this asset
+
+Use this asset if you want to prototype, validate, or bootstrap a RAG assistant
+on OCI with a clear path from local development to OCI Enterprise AI Hosted
+Applications.
+
+It is intended for architects, developers, and field teams who need a reusable
+starting point for grounded enterprise assistants backed by documents stored and
+indexed through OCI services.
+
+## When to use this asset?
+
+Use this asset when you need to:
+
+- Build an internal knowledge assistant over company documentation, policies,
+  runbooks, or onboarding material.
+- Demonstrate OCI Vector Store retrieval with an OpenAI-compatible Responses
+  API agent.
+- Validate streaming and non-streaming chat behavior before a production
+  implementation.
+- Test local and hosted invocation paths using a CLI client and a reference web
+  UI.
+- Deploy a RAG backend container to OCI Enterprise AI Hosted Applications.
+- Use a blueprint that includes specifications, schemas, tests, deployment
+  notes, and operational documentation.
+
+You should not use this asset:
+
+- As a drop-in production service without reviewing security, IAM,
+  observability, scaling, and operational requirements for your environment.
+- When you only need a minimal script or a one-off document search example.
+
+In short: this asset accelerates learning, prototyping, and implementation of
+RAG agents on OCI while keeping the architecture reviewable and extensible.
+
+# How to use this asset?
+
+Start from the main repository README and follow the Quickstart for an
+end-to-end setup:
+
+- Repository:
+  [oci-rag-agent-blueprint](https://github.com/luigisaetta/oci-rag-agent-blueprint)
+- Quickstart:
+  [QUICKSTART.md](https://github.com/luigisaetta/oci-rag-agent-blueprint/blob/main/QUICKSTART.md)
+- API usage:
+  [docs/agent-api-usage.md](https://github.com/luigisaetta/oci-rag-agent-blueprint/blob/main/docs/agent-api-usage.md)
+- Deployment guide:
+  [docs/oci-enterprise-ai-deployment.md](https://github.com/luigisaetta/oci-rag-agent-blueprint/blob/main/docs/oci-enterprise-ai-deployment.md)
+- Agent Factory:
+  [agent-factory/README.md](https://github.com/luigisaetta/oci-rag-agent-blueprint/blob/main/agent-factory/README.md)
+
+Typical usage flow:
+
+1. Provision the required OCI resources, including OCI Vector Store and the OCI
+   Enterprise AI runtime configuration.
+2. Configure the repository environment variables.
+3. Load or synchronize documents into the vector store.
+4. Start the local backend and reference UI, or deploy through the Agent Factory
+   workflow.
+5. Validate the `/health` and `/responses` endpoints with the CLI client or the
+   web UI.
+6. Adapt the blueprint to your enterprise security, deployment, monitoring, and
+   evaluation requirements.
+
+## License
+
+Licensed under the MIT license. See
+[LICENSE](https://github.com/luigisaetta/oci-rag-agent-blueprint/blob/main/LICENSE).