Hands-on Tutorials

Practical RAG Projects

Build production-grade RAG applications from scratch. Each tutorial includes complete architecture diagrams, prerequisites, step-by-step code, troubleshooting, and security considerations.

Beginner45 mins

Chat with PDF

Build an interactive document question-answering app using Python, LangChain, ChromaDB, and Streamlit.

Python 3.10+LangChainChromaDBStreamlitOpenAI API / Local LLM

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Intermediate50 mins

Conversational RAG with Memory

Implement multi-turn conversational question answering with query reformulation and chat history.

PythonLangChainChromaDBChat History MemoryOpenAI / Anthropic

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Intermediate40 mins

Hybrid Search (BM25 + Dense Vectors)

Combine lexical keyword search (BM25) with semantic dense vector search using Reciprocal Rank Fusion (RRF).

PythonRank-BM25ChromaDB / FAISSLangChain EnsembleRetriever

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Advanced60 mins

Agentic RAG with LangGraph

Build an autonomous RAG agent that evaluates retrieval quality, rewrites queries conditionally, and invokes tools.

PythonLangGraphLangChainTavily Search APIChromaDB

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Intermediate35 mins

100% Local RAG with Ollama & Chroma

Run a completely private, offline RAG system with zero external API calls or subscription costs.

Ollama (Llama 3.2 / Mistral)nomic-embed-textChromaDBPythonLangChain

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