代码库
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
Jupyter Notebook
agent-memoryai-agentsanthropicepisodic-memorygenerative-aigraphitiknowledge-graphlangchainlettallmllm-agentsllm-memorymem0memgptopenaipythonragsemantic-memoryvector-databasezep
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Jupyter Notebook
agentagent-frameworkagentic-aiagentsai-agentsdeploymentgenaigenerative-ailanggraphllmllmsmcpmlopsmulti-agent-systemsobservabilityproductionpythonragtutorials
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Jupyter Notebook
aichain-of-thoughtchatgptclaudefew-shot-learninggenaigenerative-aigptin-context-learninglangchainllmllmsmachine-learningopenaiprompt-engineeringpromptingpythontutorials
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Jupyter Notebook
agentic-ragaiembeddingsgenerative-aigptlangchainllama-indexllmllmsmachine-learningnlpopenaipythonragretrieval-augmented-generationsemantic-searchtutorialsvector-database
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Jupyter Notebook
agentic-aiagentsaiai-agentsautonomous-agentsgenaigenerative-ailangchainlanggraphllmllmsmachine-learningmcpmulti-agentmulti-agent-systemsopenaipythonragtutorials