310491a557
- Updated python_coding_microproject.csv to use NVIDIA NIM Kimi K2 - Updated kali_linux_shell_simulator.csv to use NVIDIA NIM Kimi K2 - Made more general-purpose (flexible targets, expanded tools) - Added nemotron-mini-agent.csv for fast local inference via Ollama - Added nemotron-agent.csv for advanced reasoning via Ollama - Added wiki page: Projects for NVIDIA NIMs and Nemotron
1.1 KiB
1.1 KiB
| 1 | name | description | category | model | temperature | max_tokens | prompt_template | dataset_connection | selected_dataset_ids | disclaimer | easy_prompts | visibility | tags |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2 | Document Chat Agent | Chat with your uploaded documents using RAG (Retrieval-Augmented Generation). Upload PDFs, Word docs, or text files to get started. | productivity | nvidia/llama-3.3-nemotron-super-49b-v1 | 0.3 | 4096 | You are a helpful document assistant. Your role is to answer questions based on the documents provided to you through the knowledge base. Guidelines: 1. Base your answers on the document content 2. Quote relevant passages when helpful 3. If information is not in the documents, say so clearly 4. Summarize long sections when asked 5. Help users find specific information quickly Be accurate and cite which document or section your answer comes from when possible. | none | Answers are based only on uploaded documents. Information not in your documents cannot be retrieved. | Summarize the main points|What does it say about [topic]?|Find all mentions of [keyword] | individual | documents,rag,knowledge |