How to do question answering from a PDF with Python and RAG
Build a Python pipeline that answers questions from PDFs and links each answer to its page, then check the citations before you trust them.
10 stories
Build a Python pipeline that answers questions from PDFs and links each answer to its page, then check the citations before you trust them.
AI models trained on AI-generated data lose rare words and facts first. Learn what the research shows, see our GPT-2 test, and build a pipeline that keeps real data in every round.
Comparing Apify's RAG Web Browser with Jina AI Search: one query, same LLM briefing task. Which one retrieved more usable evidence, and what did it cost?
Six ways to collect data for training AI models, plus the problems and benefits of each method.
An AI agent and an MCP server are two parts of one system. Here's what each one owns, what a connection costs in context, and which one you should build.
Scrape a website into LlamaIndex with Apify, update the index without re-embedding unchanged pages, and stop partial crawls from deleting pages that still exist.
Features, pricing, and crawl options side by side, plus a look at Firecrawl's new Alexandria library and when each platform is the better pick.
Your users know the answer is somewhere in the docs, but they’re still stuck. Build an AI chatbot that helps them find the right instructions and figure out what to do next.
Choose your AI agent’s web tools based on actual evidence. Compare what Apify and Exa returned, what they missed, how long each task took, and how much it cost.
We tested Tavily against RAG Web Browser on real research queries. One retrieved 8.4x more evidence for $0.115 per 4 queries. See the results.
Showing 10 of 10 stories
You're all caught up.
Get the top AI news and tools straight to your inbox every week.
Weekly · AI news from Apify Blog
Join 15,000+ AI enthusiasts