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\n\n\"NVIDIA\n\n# n8n-nodes-nvidia-nim\n\n**Connect NVIDIA NIM language models and embedding models to your n8n workflows — in one package.**\n\n[![npm version](https://img.shields.io/npm/v/@sateeshreddy/n8n-nodes-nvidia-nim?color=76b900&label=npm&style=flat-square)](https://www.npmjs.com/package/@sateeshreddy/n8n-nodes-nvidia-nim)\n[![n8n community node](https://img.shields.io/badge/n8n-community%20node-EA4B71?style=flat-square&logo=n8n)](https://n8n.io)\n[![License: MIT](https://img.shields.io/badge/license-MIT-blue?style=flat-square)](LICENSE)\n\n
\n\n---\n\n## Overview\n\n`@sateeshreddy/n8n-nodes-nvidia-nim` is an n8n community node package that gives you access to **NVIDIA NIM's free hosted models** directly inside your workflows.\n\nThis package includes **two nodes**:\n\n| Node | Purpose |\n|---|---|\n| **NVIDIA NIM** | Language model — connects to AI Agent, LLM Chain, etc. |\n| **NVIDIA NIM Embeddings** | Embeddings model — connects to Qdrant, Pinecone, PGVector, Supabase, Weaviate, etc. |\n\n### Why use this?\n\n- ✅ Free tier models via [build.nvidia.com](https://build.nvidia.com)\n- ✅ **Language model node** — plugs into AI Agent, Basic LLM Chain, Summarization Chain\n- ✅ **Embeddings node** — plugs into any n8n vector store (Qdrant, Pinecone, PGVector, Supabase, Weaviate, Chroma)\n- ✅ Supports 17 latest chat models including DeepSeek v4, Nemotron-3, Mistral, and Gemma 4\n- ✅ **Smart Defaults:** Automatically updates optimal temperature and max tokens when a chat model is selected\n- ✅ Supports 5 embedding models including free hosted endpoints\n- ✅ Drop-in OpenAI-compatible API — no extra setup\n\n---\n\n## Supported Models\n\n### Chat / Language Models\n\nWhen you select a model, the node will automatically configure the recommended `max_tokens` and `temperature` to provide the best results out of the box. You can still override these manually.\n\n| Model ID | Default Max Tokens | Default Temperature |\n|---|---|---|\n| `minimaxai/minimax-m3` | 8192 | 1 |\n| `nvidia/nemotron-3-ultra-550b-a55b` | 16384 | 1 |\n| `stepfun-ai/step-3.7-flash` | 16384 | 1 |\n| `moonshotai/kimi-k2.6` | 16384 | 1 |\n| `mistralai/mistral-medium-3.5-128b` | 16384 | 0.7 |\n| `mistralai/mistral-nemotron` | 4096 | 0.6 |\n| `sarvamai/sarvam-m` | 16384 | 0.5 |\n| `nvidia/nemotron-3-nano-30b-a3b` | 16384 | 1 |\n| `stepfun-ai/step-3.5-flash` | 16384 | 1 |\n| `qwen/qwen3.5-122b-a10b` | 16384 | 0.6 |\n| `nvidia/nemotron-3-super-120b-a12b` | 16384 | 1 |\n| `mistralai/mistral-small-4-119b-2603` | 16384 | 0.1 |\n| `google/gemma-4-31b-it` | 16384 | 1 |\n| `minimaxai/minimax-m2.7` | 8192 | 1 |\n| `z-ai/glm-5.1` | 16384 | 1 |\n| `deepseek-ai/deepseek-v4-pro` | 16384 | 1 |\n| `deepseek-ai/deepseek-v4-flash` | 16384 | 1 |\n\n### Embedding Models\n\n| Model | Value | Note |\n|---|---|---|\n| NV Embed v1 *(default)* | `nvidia/nv-embed-v1` | Free hosted endpoint |\n| NV EmbedQA E5 v5 | `nvidia/nv-embedqa-e5-v5` | Best for RAG / QA pipelines |\n| Llama Nemotron Embed 1B v2 | `nvidia/llama-nemotron-embed-1b-v2` | Multilingual, 26 languages |\n| Llama Nemotron Embed VL 1B v2 | `nvidia/llama-nemotron-embed-vl-1b-v2` | Multimodal (text + image docs) |\n| BGE-M3 | `BAAI/bge-m3` | Dense + multi-vector + sparse retrieval |\n\n---\n\n## Installation\n\n### Via n8n Community Nodes (Recommended)\n\n1. Open your n8n instance\n2. Go to **Settings → Community Nodes**\n3. Click **Install**\n4. Enter `@sateeshreddy/n8n-nodes-nvidia-nim` and confirm\n\n### Manual Installation\n\nNavigate to your n8n custom nodes directory and install:\n\n cd ~/.n8n/custom/\n npm install @sateeshreddy/n8n-nodes-nvidia-nim\n\nThen restart n8n.\n\n---\n\n## Getting Your API Key\n\n1. Visit [build.nvidia.com](https://build.nvidia.com)\n2. Sign in or create a free account\n3. Navigate to **API Keys** in your dashboard\n4. Generate a new key and copy it\n\n> **Note:** The free tier gives you a generous number of inference credits — no credit card required.\n\n---\n\n## Usage\n\n### Setting Up Credentials\n\nIn n8n, go to **Credentials → New → NVIDIA NIM API** and paste your API key. Both the chat node and the embeddings node share the same credential.\n\n---\n\n### NVIDIA NIM (Chat / Language Model)\n\nUse this node anywhere n8n expects a **language model**.\n\n1. Add an **AI Agent** (or Basic LLM Chain) node to your workflow\n2. In the **Model** slot, click `+`\n3. Search for **NVIDIA NIM** and select it\n4. Choose your model — the optimal temperature and max tokens will be populated automatically!\n5. Run your workflow\n\n**Configuration Options:**\n\n| Parameter | Type | Default | Description |\n|---|---|---|---|\n| Model | Dropdown | `deepseek-ai/deepseek-v4-flash` | The NIM chat model to use |\n| Temperature | Number | *Dynamic* | Controls output randomness. Automatically updates based on the model chosen. |\n| Max Tokens | Number | *Dynamic* | Maximum tokens in the response. Automatically updates based on the model chosen. |\n\n---\n\n### NVIDIA NIM Embeddings\n\nUse this node anywhere n8n expects an **embeddings model** — vector stores like Qdrant, Pinecone, PGVector, Supabase, Weaviate, and Chroma.\n\n1. Add a **Qdrant Vector Store** (or any other vector store) node\n2. In the **Embeddings** slot, click `+`\n3. Search for **NVIDIA NIM Embeddings** and select it\n4. Choose your embedding model\n5. Run your workflow\n\n**Configuration Options:**\n\n| Parameter | Type | Default | Description |\n|---|---|---|---|\n| Model | Dropdown | `nvidia/nv-embed-v1` | The NIM embedding model to use |\n\n**Compatible vector stores:** Qdrant · Pinecone · PGVector · Supabase · Weaviate · Chroma\n\n---\n\n## Contributing\n\nPull requests are welcome! To add a new model, fix a bug, or improve documentation:\n\n1. Fork the repo\n2. Create a feature branch\n3. Commit your changes\n4. Push and open a PR\n\n---\n\n## License\n\n[MIT](LICENSE)\n\n---\n\n
\n\nMade with ☕ for the n8n community · Powered by [NVIDIA NIM](https://build.nvidia.com)\n\n
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