langchain-examples and langchain-crashcourse

langchain-examples
51
Established
langchain-crashcourse
40
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 18/25
Stars: 544
Forks: 151
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 23
Forks: 13
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About langchain-examples

alphasecio/langchain-examples

A collection of apps powered by the LangChain LLM framework.

This collection provides ready-to-use applications that leverage large language models to automate tasks like document summarization, question answering, and content searching. You input text, URLs, or documents, and get back concise summaries, direct answers to questions, or relevant search results. This is ideal for knowledge workers, researchers, content creators, or business analysts who want to quickly process information and extract insights.

generative AI development LLM application examples Streamlit app development LangChain integration AI prototyping

About langchain-crashcourse

bhattbhavesh91/langchain-crashcourse

The LangChain Crash Course Repository is a concise and comprehensive collection of learning materials for the LangChain programming language.

This crash course provides a quick and thorough introduction to LangChain, a framework used for developing applications powered by large language models. It delivers learning materials, including a Google Colab notebook and a video tutorial, to help you understand and apply LangChain. Developers interested in building AI-driven applications will find this resource valuable.

AI-application-development LLM-development python-development software-engineering machine-learning-engineering

Related comparisons

langchain-examples and llm-python langchain-examples and langchain-experiments langchain-examples and langchain-ray langchain-examples and try-langchain langchain-examples and langchain-experiments

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