llm-python and langchain-examples

These are ecosystem siblings—both are educational resource collections demonstrating LangChain framework applications, with A focusing on multi-LLM tutorials (OpenAI, Llama, etc.) while B showcases complete LangChain-powered applications as reference implementations.

llm-python
61
Established
langchain-examples
51
Established
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Stars: 902
Forks: 316
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 544
Forks: 151
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About llm-python

onlyphantom/llm-python

Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone

This project provides practical tutorials and code examples to help you build applications using large language models (LLMs) like GPT. It guides you through creating systems that can answer questions based on your own data, chat with databases, and build AI agents, using popular tools such as LangChain and LlamaIndex. The resources are ideal for developers or technical professionals looking to integrate LLMs into their software.

LLM development AI agent building natural language processing information retrieval application development

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

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