StarTrail-org/PixelRAG

Health v2 · maintenance only

Flags: young

Adoption not part of the score

10320 stars · 910 forks observed · 2026-10-21

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

PixelRAG is a Python library and hosted service for visual retrieval-augmented generation: it renders web pages and documents into screenshot tiles, embeds them with vision-language models, and searches a visual index instead of parsed text. It ships a CLI (pixelshot) and a hosted API over a pre-built 8.28M-page Wikipedia visual index.

Use cases

• search documents by how they look instead of parsing text
• build a RAG pipeline over web page screenshots
• query a Wikipedia index with an image instead of text
• render web pages to screenshot tiles for indexing
• avoid brittle HTML-to-text extraction for retrieval
• give LLM agents visual memory of web pages

When to choose

• text extraction from complex or visually structured pages loses information
• you want multimodal (text or image) queries over a large document corpus
• you need a ready-made hosted visual search index with no setup

When to avoid

• you need a fully self-hosted, offline solution with no external API dependency
• your corpus is plain text where traditional text retrieval is cheaper and sufficient
• you cannot afford the GPU/compute cost of rendering and embedding screenshots at scale

Facets

library · maturity active

rag search-engine image-processing machine-learning llm-inference web-scraping large-language-models computer-vision artificial-intelligence python cli cloud visual-search screenshots vision-language-models embeddings faiss multimodal-retrieval pixel-native retrieval-augmented-generation search web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="StarTrail-org/PixelRAG")