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MCP Tutorials

Step-by-step tutorials for building Model Context Protocol servers and clients in production, with full working code.

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RAG Cookbook

Working RAG patterns with runnable code: hybrid retrieval, reranking, query expansion, and citation grounding.

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Library Integrations

Hands-on integration guides for LangChain, LlamaIndex, Pinecone, Weaviate, Qdrant, and the major LLM SDKs.

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Context Window Engineering

Practical techniques for managing context windows: chunking, summarization, sliding windows, and prompt caching.

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Embeddings & Retrieval

Embedding model selection, vector store setup, similarity search tuning, and retrieval evaluation methodology.

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Tool Use & Function Calling

Building agentic AI features: tool definitions, function-calling patterns, and tool-orchestration loops.

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Home All Categories Glossary MCP Tutorials RAG Cookbook Library Integrations Context Window Engineering Embeddings & Retrieval Tool Use & Function Calling
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RAG Cookbook

Working RAG patterns with runnable code: hybrid retrieval, reranking, query expansion, and citation grounding.

1 tutorials
How to Implement Query Expansion for RAG Systems with OpenAI GPT-4
9 min read Featured

How to Implement Query Expansion for RAG Systems with OpenAI GPT-4

Discover how to enhance retrieval-augmented generation (RAG) systems by implementing query expansion using OpenAI's GPT-4. This tutorial provides step-by-step guidance and working code examples to improve search relevance and efficiency.

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