RAG LLM Architecture PoC

Aimpoint Digital: Your GenAI Partner

Find out how Aimpoint Digital’s RAG PoC can accelerate your AI strategy and explore how we can tailor this solution to meet your specific business needs.

Retrieval Augmented Generation (RAG) in Databricks

Aimpoint Digital's Retrieval Augmented Generation (RAG) PoC is the ideal solution for organizations interested in proving GenAI's value proposition within the context of their businesses. It empowers your organization to drive more value from use cases by providing the model with more accurate and relevant information from which to derive its responses.

Key Activities

  • Review Databricks machine learning environment in preparation for GenAI
  • Preprocess data to parse and chunk documents, webpages, and tables
  • Create Source Delta Table
  • Identify embedding model
  • Generate Vector Search Vector Database

Deliverables

  • Code to Generate Source Delta Table, Vector Search Vector Database
  • Onboarded & trained stakeholders & technical team for RAG LLM
  • Process and Databricks architecture documentation

Aimpoint Digital Will

  • Guide you on best practices to get the most out of your RAG architecture
  • Create a RAG PoC to demonstrate the value GenAI can bring to your organization.
  • Provide next steps and considerations for taking the RAG PoC to production.

Value Realized

  • More timely and accurate LLM model responses specific to your business use case
  • More security ensuring only users with the appropriate permissions can access your data
  • Quicker development timeline by leveraging Databricks GenAI products.

Example Use Case: Travel Bot

This example is building a travel itinerary that reduces travel planning from 5 hours to less than 1 minute. However, the options for Agentic workflows across industries are endless from Tool Use to Multi-Agent Collaboration.

RAG PoC Reference Architecture

Our Retrieval Augmented Generation (RAG) PoC helps organizations unlock GenAI’s potential by enabling LLMs to deliver more accurate, timely, and grounded responses through seamless integration with Databricks GenAI features.

The architecture includes:

Vector Search Index

  • A custom vector database built on your company's unstructured data that automatically and incrementally updates with every change, ensuring real-time accuracy and adaptability

Databricks Apps

  • A custom scalable front-end web application that seamlessly interacts with your RAG chain solution

Agentic Framework

  • A powerful, modular GenAI solution featuring retrievers, prompts, and LLM building blocks to accelerate the development of your AI systems.

Why choose Aimpoint Digital for your RAG PoC?

Our team of data engineers, data scientists, and analytics professionals work across strategy, implementation, and optimization. Decades of industry knowledge, including retail, CPG, and manufacturing, allow us to tailor solutions for your unique requirements.