langchain-examples and try-langchain

langchain-examples
51
Established
try-langchain
38
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 15/25
Stars: 544
Forks: 151
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 26
Forks: 5
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
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 try-langchain

codingforentrepreneurs/try-langchain

Learn how to use LangChain to build AI bots that can reason, use your data, and search the internet.

This project helps developers build intelligent AI bots that can understand and respond using their own specific data, reason through complex tasks, and search the internet for up-to-date information. Developers can input their proprietary data and design custom logic to create AI assistants that go beyond basic conversational abilities. It is designed for software developers and AI engineers looking to integrate advanced AI capabilities into their applications.

AI-development bot-building application-development custom-AI software-engineering

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