laxmimerit/ollama-chatbot
This repository contains implementations of Retrieval-Augmented Generation (RAG) in Jupyter notebooks. It includes examples of building chatbots with and without history, processing PDFs with RAG, and...
Higher risk. laxmimerit/ollama-chatbot scores 52/100. Carefully evaluate before using in production.
52
Trust Score
D
Grade
0
Security
N/A
Downloads
Package Details
| Name | laxmimerit/ollama-chatbot |
| Author | Unknown |
| License | Not specified |
| Language | Jupyter Notebook |
| Source | github — view |
| Category | - |
| Stars | 105 |
| EU AI Act | Not classified |
Security Analysis
| Security Score | 0/100 |
| Activity Score | 0/100 |
| Documentation | 0/100 |
| Popularity | 0/100 |
Add to Your CI
Automatically check laxmimerit/ollama-chatbot trust score in your CI pipeline:
# Check trust score before deploy curl -s "https://nerq.ai/v1/preflight?target=laxmimerit/ollama-chatbot" | jq '.trust_score'
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| 6 | com.nilyo/nilyo | 71 | B | - |
| 7 | com.spicyapi/mcp | 71 | B | - |
| 8 | com.arcnautical/mcp | 71 | B | - |
FAQ
Is laxmimerit/ollama-chatbot safe?
Trust Score: 52/100, Grade: D. See the full safety report for details.
Does laxmimerit/ollama-chatbot have vulnerabilities?
Security Score: 0/100. Check /is-laxmimerit-ollama-chatbot-safe for current vulnerability data.
What license is laxmimerit/ollama-chatbot?
License: Not specified.