Personalized CPG domain guidance

How Cogninest AI Helping Entrepreneurs in the CPG Industry with an AI Chatbot

Leveraging RAG to provide personalized, context-rich guidance for aspiring CPG entrepreneurs

Knowledge sources
Lectures, books, blogs, YouTube, presentations
Retrieval accuracy
Improved with 750-token chunking strategy
Content management
Admin panel with auto-ingestion
Quality loop
Continuous improvement via user feedback
01The Challenge

Diverse, unstructured knowledge sources needed a universal AI pipeline

The client is an experienced CPG industry expert dedicated to mentoring students pursuing entrepreneurial ventures within the sector. They provided an extensive dataset comprising lecture notes, presentations, books, blogs, YouTube videos, and other relevant resources. The dataset included various formats, making it challenging to design a universal ingestion pipeline that could handle all source types. Initial chunking strategies disrupted semantic coherence, leading to irrelevant chatbot responses that undermined user trust. Ensuring contextually relevant and accurate responses from the LLM was critical for the educational use case. Handling non-text sources like blogs and YouTube videos required robust processing capabilities beyond standard document ingestion.

  • Unstructured dataset spanning lectures, books, blogs, YouTube, and presentations
  • Initial chunking strategies disrupted semantic coherence
  • Non-text sources like YouTube needed specialized processing
  • LLM response accuracy critical for building student trust
02What We Built

RAG chatbot with ChromaDB, admin panel, auto-ingestion, and feedback loops

We collaborated with the client to categorize and preprocess the entire dataset, storing content in ChromaDB for efficient retrieval. We implemented an optimized token-based chunking approach with 750-token chunks to preserve semantic integrity, resolving the early issues with irrelevant responses. An admin panel for knowledge management lets administrators manage content including automated ingestion of blogs and YouTube videos as new content is published. A feedback loop enables users to flag problematic responses, allowing admins to review and update answers, ensuring the chatbot evolves based on actual user interactions and continuously improves its accuracy.

RAG architectureChromaDB vector store750-token semantic chunking strategyAdmin panel for knowledge managementAutomated YouTube and blog ingestionUser feedback loop for continuous improvement

"The AI assistant has transformed how our students approach their entrepreneurial journey in the CPG industry. The personalized guidance and seamless integration of diverse resources have been invaluable."

Client

CPG Industry Expert and Mentor

03The Outcome

Comprehensive AI assistant for CPG entrepreneurship with continuous learning

The project successfully delivered a robust AI assistant tailored for student entrepreneurs in the CPG sector. Future plans include expanding the knowledge base, integrating additional multimedia content, and refining the feedback mechanism to further enhance user experience.

Enhanced

retrieval accuracy with optimized 750-token chunking

Streamlined

content management via admin panel with auto-ingestion

Continuous

improvement through user feedback loop

Comprehensive

support integrating text, video, and blog sources