Site Rag
Streamlined RAG implementation for website content extraction and querying.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Site Rag, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.
Overview
Site Rag is an open-source tool that simplifies the process of implementing Retrieval Augmented Generation (RAG) for website content. It automates the extraction of text from web pages, creates embeddings, and allows users to query the extracted information using natural language. This tool is designed to make RAG more accessible and easier to implement for developers working with web content
Key features
- Automated web scraping and text extraction
- Embedding generation for extracted content
- Natural language querying of website information
- Integration with popular language models
- Customizable scraping and embedding options
- Easy-to-use command-line interface
Use cases
- Content summarization for websites
- Question-answering systems based on web content
- Information retrieval from multiple web sources
- Automated research and data gathering
- Creating chatbots with website-specific knowledge