lang-graph
Overview
what is lang-graph?
lang-graph is a tool that utilizes a graph-based approach to manage complex and dynamic workflows for building applications based on large language models (LLMs).
how to use lang-graph?
To use lang-graph, you can categorize applications and perform various operations on them by defining nodes and edges in a graph structure. You can add nodes using the .add_node method to represent different operations in your workflow.
key features of lang-graph?
- Graph-based workflow management for LLM applications
- Ability to categorize applications and assess them based on parameters
- Conditional branching and transitions through edges
use cases of lang-graph?
- Building LLM-based applications that require complex workflows.
- Automating the assessment and matching of applications to operations.
- Managing dynamic workflows in recruitment processes.
FAQ from lang-graph?
- What programming language is lang-graph built with?
lang-graph is built using Python.
- Can lang-graph handle all types of workflows?
Yes, lang-graph is designed to manage complex and dynamic workflows effectively.
- How do I contribute to lang-graph?
You can contribute by submitting issues or pull requests on the GitHub repository.
Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
neels22Star
0Language
PythonLicense
-Category
developer-tools