Pricing
Not listed
Official monthly price not confirmed
- API
- Blueprint documentation cites OpenAI-compatible APIs and MCP server support for integration.
Finding the possibilities
rag
● Identity checkedAssistant · Vendor site 2026-10-04
NVIDIA’s Build a RAG Pipeline blueprint is a modular reference architecture for GPU-accelerated retrieval-augmented generation across enterprise search, copilots, and agent workflows. It covers multimodal ingestion, NeMo Retriever, reasoning controls, OpenAI-compatible APIs, and MCP server support.
- Category
- Assistant
- Free access
- Not confirmed
- API access
- Blueprint documentation cites OpenAI-compatible APIs and MCP server support for integration.
Is rag right for you?
A good fit for
Developers and platform teams deploying production RAG on NVIDIA NIM with multimodal enterprise data.
Before you choose
Blueprint pages describe architecture and deployment requirements rather than a simple monthly SaaS price list.
Enterprise RAG blueprint
NVIDIA positions the blueprint as a production-ready foundation for high-accuracy RAG that connects agents to trusted enterprise knowledge at scale.
What it can do
Features & capabilities
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| Multimodal ingestion | Blueprint extracts text, tables, charts, images, infographics, and audio or video for retrieval. | Facts sourced | 2026-10-04 |
| Agent features | Includes query decomposition, metadata filtering, shallow and deep summarization, and optional reflection. | Facts sourced | 2026-10-04 |
| MCP support | Marketing notes MCP server support alongside native Python libraries for agent integration. | Facts sourced | 2026-10-04 |
Understand the total cost
rag pricing & plans
Alternatives to rag
View all ↗
Depth - AI Product ManagerDepth is an AI product analytics platform with session replay, funnels, retention, and product-management workflows. It offers tiered session tracking for startups through enterprise, with integrations to tools like Linear and Jira on higher plans.
Explore tool
KetchKetch is enterprise privacy management software for consent, data subject rights, data mapping, and AI-ready governance. Its marketing site targets GDPR, CCPA, and U.S. state privacy compliance with self-serve tiers plus enterprise Pro deployments.
Explore tool
ExportTokExportTok exports TikTok video comments to CSV or Excel for analysis and reporting. Users paste a video URL, choose formats, optionally include replies, and download engagement data without logging into TikTok, with batch export support for multiple links.
Explore toolThe practical questions
Frequently asked questions
What is rag used for?
NVIDIA’s Build a RAG Pipeline blueprint is a modular reference architecture for GPU-accelerated retrieval-augmented generation across enterprise search, copilots, and agent workflows. It covers multimodal ingestion, NeMo Retriever, reasoning controls, OpenAI-compatible APIs, and MCP server support.
Does rag have a free plan?
Not confirmed. This record does not confirm an ongoing free plan.
How much does rag cost?
A listed monthly price has not been confirmed. See the plan cards for entitlements, billing commitments and seat minimums.
Can I use rag through an API?
Blueprint documentation cites OpenAI-compatible APIs and MCP server support for integration.. API access and subscription access may have different terms; consult the linked sources.
What should I check before choosing it?
Blueprint pages describe architecture and deployment requirements rather than a simple monthly SaaS price list.
Price history
No retained pricing changes yet. A current price alone does not establish a historical trend.
How this profile is supported
Identity and profile
Reviewed vendor source
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.