Created by team Knowledge Harvesting on July 23, 2023

Egregore: An implementation of LangChain and Claude for Accelerated Competitive Analysis Our Knowledge Harvesting team aimed to create an AI solution for a crucial stage of the product development process: Analyzing competition. Understanding the competition is vital to decipher a market and assess market attractiveness. Accurate knowledge of the competition helps product and marketing managers communicate product functions, features, and benefits effectively. We explored techniques to structure information for LangChain and opted to use prompts, testing them in GPT-4 and Claude 2. Additionally, we experimented with semantic triples to drive agent behaviors. Triples and knowledge graphs are powerful and interpretable ways to structure and curate data. In a real-world application, we focused on five ultrasound devices, enabling rich comparisons, including regulatory requirements. We delved into FDA processes for medical devices. Though we didn't fully structure this complex data, we captured the necessary elements to make it AI-digestible. With a 55-page Integrated Product Management Process as reference, we converted its step-by-step guidance into prompts and agents. While we encountered some uncompleted tests to assess AI configurations, we successfully developed workflows, data structures, and prompts to leverage LangChain's potential. Although more work lies ahead, we established a strong foundation for further exploration. Our team's experience in using AI for a real-world scenario was good! In just 3 days, we covered significant ground, demonstrating the tremendous potential of AI to augment human intelligence. Our project's ambition affirmed the possibilities of utilizing AI to enhance product management and innovation.

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"good work. idea is great, it just need some work to make it applicable to market. keep it up"


Walaa Nasr Elghitany

Data scientist and doctor

"Cool idea for product development guided by an AI agent. I generally understand your application, but details on: theoretical use cases and examples in production would help showcase the value of the application."


Ervin Moore

PhD Computer Science Student

"Great job team! Egregore is an amazing project that has the potential to be at the leading edge of competition analysis and save a lot of time for managers. I'd love to see the working demo up and running in your video presentation to see how powerful the application is. Good luck!"


Paulo Almeida

co-founder of Stunning Green

"Interesting approach and a perfect example on how a AI-agent should be build. Great work :) "


Muhammad Inaamullah

Machine Learning Engineer