Site Rag

Web AI Agents

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

Site Rag is a powerful, open-source solution designed to bridge the gap between static website content and interactive AI intelligence. By automating the complex pipeline of Retrieval Augmented Generation (RAG), it allows developers to effortlessly extract text from any web page, convert it into searchable high-dimensional embeddings, and deploy a natural language query interface in record time. Whether you are building a custom knowledge base or an intelligent site-search bot, Site Rag removes the technical friction of manual data ingestion. Its streamlined architecture makes sophisticated AI implementation accessible to developers of all levels, transforming how users interact with web-based information by turning standard documentation and articles into a conversational, searchable resource that yields precise, context-aware answers instantly.

Industry: Technology

Pricing: Free

Use cases: Developer, Sales, Creator

Capabilities: GitHub, OpenAI API, Pinecone, LangChain

Tags: GitHub, OpenAI API, Pinecone, LangChain

• Is Site Rag a completely free open-source solution?
• Does Site Rag support vector databases other than Supabase?
• Can Site Rag index an entire website for queries?