langchain-examples and langchain-ray
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
25/25
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
22/25
Stars: 544
Forks: 151
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 232
Forks: 48
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stale 6m
No Package
No Dependents
Archived
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-ray
ray-project/langchain-ray
Examples on how to use LangChain and Ray
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work