Tools and first-week setup

The tools a AI Agents & RAG intern uses and how to set up your workspace in week one.

These are the main tools for AI Agents & RAG tasks. You do not need all of them on day one; the Level 1 tasks tell you when to install each one.

Set up your workspace

Create a free GitHub account if you do not have one, with a professional username, and set up your LinkedIn profile: every task is submitted with a LinkedIn post.
Create one repository for the internship, for example ai-agents-and-rag-internship, with a README that says who you are and what the repo holds.
Keep one folder per task, named with the task number and title, so mentors find your work quickly.
Commit small changes every day with clear messages. Your daily work report uses these commits as proof.
Never commit passwords, API keys or personal data. Put secrets in a .env file and add it to .gitignore.

Task	What to do
Explain agents vs chatbots	Write a one-page explainer with a diagram: what an AI agent is, the plan-act-observe loop, tools and memory, with two real product examples.
Embeddings hands-on	Create embeddings for 20 sentences and find the 3 most similar sentences for 5 queries using cosine similarity. Print the scores.
Chunking experiment	Split one long document with 3 chunk sizes (200, 500, 1,000 characters, with overlap). Compare which size retrieves the right passage for 10 questions.
Set up a vector store	Store 100 text chunks in a free vector database or local index (FAISS, Chroma or pgvector) and run similarity search from code.