RAG Based Chatbot for Publication Discovery and Q&A

Overview

A leading trusted platform empowering AI professionals to share their projects, insights, and innovations with the global AI community.

About the Client

A leading trusted platform empowering AI professionals to share their projects, insights, and innovations with the global AI community.

The Challenge

Publication hub provides a space for individuals and teams to showcase their work, collaborate with peers, and contribute to the advancement of AI in a responsible and accessible way.

Key Results

Publication Discovery on platform
Publication Engagement
Code Understanding and accessibility

Publication Discovery

Need to discover publications related to the question/topic asked

Ex - Give me publications related to RAG. Bot should only return publications related to RAG from all the publications

Publication Engagement

Engage with publications through natural language queries, making technical content more accessible and discoverable

Ex - What is RAG? - It should give definition of RAG

Code Understanding

Q&A for the Python code associated with the publication to understand the code

Our Solution

RAG Based Chatbot for Publication Discovery and Q&A — solution architecture diagram

The JashDS team developed an Intelligent assistant (RAG based system) that enables users to interact with AI/ML publications through natural language queries

Technologies Used

User Layer: Next.js frontend with intuitive chat interfaceProcessing Layer: AWS Lambda implementing Retrieval-Augmented Generation (RAG)Data Layer: OpenSearch vector database, S3 document storage, DynamoDB conversation historyAI Layer: Anthropic Claude 3 Sonnet via Amazon Bedrock for natural language understandingImplemented a configuration-driven charge calculation system allowing utility providers to easily modify rates and rebates.

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