Sep '25 (edited) โข I Made this
๐Example Of Prompt chaining/Squential Workflow๐
Iโve developed an automated blog generation system that takes a simple topic and transforms it into a full-length blog post, using a two-step process powered by LangGraph. ๐คโจ
How it Works:
Step 1: Generate Outline ๐
The workflow first takes the topic provided by the user and generates a detailed blog outline. This helps structure the content by breaking it down into key sections.
Step 2: Generate Blog Content ๐๏ธ
With the outline in hand, the system then uses it to generate a detailed blog post, ensuring each section of the outline is fully fleshed out into a coherent and informative blog.
LangGraph Workflow Design:
The workflow is built with LangGraph and consists of two primary nodes: ๐ง
Node 1: Create Outline ๐
Functionality: This node takes the user-provided topic and uses it to generate a structured outline for the blog. The model understands the topic and breaks it down into key points and sub-topics.
Node 2: Create Blog Content ๐๏ธ
Functionality: This node takes the topic and the outline and generates a full-length blog based on the outline. It ensures the content is well-organized and aligned with the initial structure, providing a comprehensive blog post.
Key Features:
Efficient Workflow ๐: Seamlessly moves from generating a structured outline to creating a detailed blog.
Node-based Process โ๏ธ: Clear and easy-to-understand flow with specific functionalities for each node.
Real-Time Streaming โฑ๏ธ: The content is streamed progressively to the user, ensuring a dynamic and engaging experience.
This system showcases the power of LangGraph in structuring complex workflows for content generation, allowing for automation and efficiency in content creation. ๐
Check out the demo to see how the system works in action! ๐ฅ
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๐Example Of Prompt chaining/Squential Workflow๐
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