​🗃️ Class 4: ZeroDB as Your AI Filesystem — Upload, Track, and Retrieve with /files/upload

​Mastering the AI-Native Stack: Build Faster, Smarter with AI-Powered Tools

​eed to store PDFs, images, transcripts, or user uploads for your AI app?

​This class teaches you how to use ZeroDB’s /files/upload API — a fully integrated object storage solution backed by MinIO that allows you to upload, track, and index files for search, retrieval, and memory ingestion.

​Whether you're building a retrieval-augmented generation (RAG) system, a creative agent, or a full-blown AI product, this gives you S3-like power with ZeroDB-native control.

​🧰 What You’ll Learn

​✅ How to register files with /files/upload
✅ How to store custom metadata alongside file content
✅ How to link uploaded files to agent memory or vector embedding pipelines
✅ How to create scoped, project-based file storage with no S3 complexity
✅ How to build an AI document search assistant with uploaded PDFs or docs

​🧑‍💻 Live Coding

• ​Upload a .pdf, .txt, or .json file to ZeroDB

• ​Index and tag it with metadata (type, source, user_id)

• ​Generate embeddings and link them to the file ID

• ​Build a lightweight file + memory search app

• ​Add version control or document auditing for RLHF pipelines

​⚙️ Tools We’ll Use

• ​🧠 AINative Studio

• ​🗂️ ZeroDB /files/upload API

• ​🧩 Python, Node, or curl (your choice)

• ​📚 PDF parser + OpenAI/Ollama embedding models

• ​🛠 Optional: LangChain document loaders

​👥 Who Should Attend

• ​AI product builders (RAG, Docs AI, Knowledge Search)

• ​Agents that consume or generate media files

• ​Backend devs replacing S3 / Firebase Storage

• ​Teams managing user uploads or document ingestion

​🗓 When?

​Every Wednesday — 1 Hour
Live with community Q&A and Discord follow-up

​🎯 Why Join This Class?

​🗃️ Upload and track AI content without external storage
📁 Replace S3 with a ZeroDB-native file layer
📦 Embed and retrieve file metadata easily
💡 Build smarter AI systems that understand documents, images, and more

​✅ Class Takeaways

• ​File upload + tagging template

• ​Working “document uploader + indexer” demo

• ​Full /files/upload schema walkthrough

• ​Bonus: Auto-ingest script (upload → embed → store vector)

• ​Access to ZeroDB project sandbox + sample file storage config

​📌 Enroll Now

​Spaces are limited — claim your ZeroDB vector storage workshop seat! 👉 Reserve Your Spot