lang-graph

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?

1. Building LLM-based applications that require complex workflows.
2. Automating the assessment and matching of applications to operations.
3. 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.