daveebbelaar/langchain-experiments
A collection of Jupyter notebook experiments building applications with LLMs using the LangChain framework.
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This repository demonstrates practical applications of large language models through LangChain experiments. It showcases creating searchable databases from YouTube video transcripts, performing similarity search using FAISS, and building LLM-powered applications that combine models with custom data sources. The notebooks explore LangChain’s core components including models, prompts, memory, chains, and agents.
Frequently asked
- What is daveebbelaar/langchain-experiments?
- A collection of Jupyter notebook experiments building applications with LLMs using the LangChain framework.
- Is langchain-experiments open source?
- Yes — daveebbelaar/langchain-experiments is open source, released under the MIT license.
- What language is langchain-experiments written in?
- daveebbelaar/langchain-experiments is primarily written in Jupyter Notebook.
- How popular is langchain-experiments?
- daveebbelaar/langchain-experiments has 1.1k stars on GitHub.
- Where can I find langchain-experiments?
- daveebbelaar/langchain-experiments is on GitHub at https://github.com/daveebbelaar/langchain-experiments.