Building a Perplexity Clone for Local LLMs in 50 Lines of Python

This tutorial demonstrates how to build a Perplexity-like search-augmented generation pipeline in about 50 lines of Python, connecting local LLMs to the web. The pipeline performs parallel web search via Bing and DuckDuckGo, semantic filtering, content extraction, BM25+semantic reranking, and produces a citation-enriched prompt for any local model. No API keys are required, and the system supports multiple installation tiers from minimal BM25 ranking to full semantic capabilities.