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.
Aimpoint Digital’s RAG PoC is a certified Databricks Brickbuilder Accelerator, a distinction awarded to high-quality solutions that address key industry use cases on the Databricks platform within
a few short weeks.
Aimpoint Digital: Your GenAI Partner
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 (e.g. which knobs to adjust to potentially improve the retrieval process and LLM model responses)
Deliverables
- Use case ideation session(s) to outline a broader GenAl strategy
- RAG reference framework (reusable code)
- Documentation on PoC approach
- Knowledge transfer sessions of PoC
- High-level next steps to move the RAG PoC to production & a roadmap to adopt GenAl
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
- A RAG reference framework (reusable code) and future milestones (documentation) based on our collaboration
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 like Databricks Foundation Models, Model ServingEndpoints, and Mosaic Vector Search.
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 powerful, modular GenAI solution featuring retrievers, prompts, and LLM building blocks to accelerate the development of your AI systems
Agentic Framework
A custom scalable front-end web application that seamlessly interacts with your RAG chain solution
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.
Our accelerator delivers accurate, contextually relevant insights and can be easily integrated with your front-end web application, enabling seamless deployment of RAG-based solutions.
Partner of the Year
Certified Provider
Ready to get started in GenAI?
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.