langchain-examples and langchain-experiments
These are ecosystem siblings—both are independent collections of example applications built on the same LangChain framework, designed to help developers learn different patterns and use cases rather than to be used together or as alternatives to each other.
About langchain-examples
alphasecio/langchain-examples
A collection of apps powered by the LangChain LLM framework.
About langchain-experiments
daveebbelaar/langchain-experiments
Building Apps with LLMs
Demonstrates RAG patterns and agentic workflows through practical examples including YouTube transcript indexing with FAISS vector search, multi-step chains for sequential LLM calls, and agent loops that make decisions and take actions. Integrates OpenAI models (GPT-3.5 Turbo, GPT-4) with external data sources and APIs (SerpAPI) to extend LLM capabilities beyond simple API calls, using LangChain's modular architecture for memory persistence, prompt optimization, and tool integration.
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