Gemini's File Search API Makes RAG Easy (and CHEAP!)

Video Description

Join My Community to Level Up ➡ https://www.skool.com/earlyaidopters/about 🚀 Gumroad Link to Assets in the Video: https://bit.ly/4i6DJx9 📅 Book a Meeting with Our Team: https://bit.ly/3Ml5AKW 🌐 Visit Our Website: https://bit.ly/4cD9jhG 🎬 Core Video Description Google’s new Gemini File Search API for turnkey, low-cost RAG—demoed in AI Studio, n8n, and Claude Code. Learn how to upload files, auto-chunk/embed, query with grounded citations, add metadata filters, and even ship a drag-and-drop micro-SaaS—all for a fraction of typical RAG costs. Gemini File Search API, AI Studio (Vibe Coding), n8n workflow (file store + agent query), Claude Code/Cursor, metadata filtering, intelligent chunking, cosine similarity, top-K retrieval, grounded context. ⏳ TIMESTAMPS: 00:00 – Intro: Why Gemini File Search changes RAG economics 00:29 – Gemini momentum & positioning in the AI stack 00:40 – What the API does: upload → auto-chunk → embed → cite 01:20 – AI Studio demo app tour + Vibe Coding overview 01:59 – Uploading a PDF and instant indexing walkthrough 02:30 – Summaries with citations: previewing retrieved chunks 03:10 – Using docs as Markdown to bootstrap Claude/Cursor 03:36 – n8n workflow overview: upload → store → query pipeline 04:04 – Form upload, binary handling, and creating a File Store 05:00 – Uploading files to the store via API endpoints 05:22 – Agent query demo: summarizing what’s in the store 06:00 – Grounding metadata & retrieved chunks explained 06:44 – Hallucination test: out-of-scope prompts return “I don’t know” 07:21 – How this differs from DIY RAG & vector DBs 07:48 – Intelligent chunking & cosine similarity in practice 08:35 – Query pipeline: top-K retrieval, grounded context, LM step 09:22 – Cost & scale notes + privacy caveats (when not to use) 10:04 – From docs to app: building with Claude Code/Cursor 10:28 – Micro-SaaS demo: drag-and-drop file chat interface 10:59 – Metadata filters, chunk controls, response post-processing 11:59 – Command center: keys, models, quick cURL actions 12:19 – Mega-prompt & community repo access 12:54 – Wrap-up: key takeaways & next steps #GeminiFileSearch #RAG #AIStudio #ClaudeCode #n8n #SemanticSearch #VectorSearch #Embeddings #AgenticRAG #MicroSaaS #PromptEngineering #AIAutomation #RetrievalAugmentedGeneration #VibeCoding