Introducing our Accelerator Block for RAG, The Only Way to Build RAG in Seconds
Jan 30, 2024
Gradient Team
0 to Production in Under 3 Seconds
With the recent launch of our Accelerator Blocks, we’re excited to introduce our newest Accelerator Block for RAG - the first fully managed, production grade RAG service that allows you to set up RAG instantly. Enjoy a low-code, frictionless experience that requires no additional development. Simply drag and drop your raw data into our service and we’ll take care of the rest.
The Fastest Way to Production RAG: Improve your development process by 10x - removing the need for infrastructure, setup or in-depth knowledge around AI. Our Accelerator Block for RAG works instantly - just upload your data via Gradient’s UI and access your RAG model via a simple API call.
Best-of-Breed Technologies: Don’t compromise on quality - our RAG service is powered by best-of-breed technologies including: Gradient for state-of-the-art LLMs and embeddings, MongoDB Atlas for indexing high-dimensional vector data, and LlamaIndex for the use of their advanced RAG framework.
Optimized RAG Performance: We’ve already done the work for you to enhance your RAG performance and accuracy. Our Accelerator Block for RAG incorporates best practices and methods for optimization including the use of an optimal chunking strategy, rerankers, and advanced retrieval strategies.
You can learn how to get started with the new RAG accelerator block in our tutorial here.
RAG: A Quick Primer
Retrieval augmented generation (RAG) is a popular optimization method for enterprise businesses, who are looking to to improve the quality of responses generated by their LLM. Foundational models are only trained with public data - they’ll never understand your business out of the box. RAG addresses this by dynamically incorporating their data during the inference process, by allowing the model to access and utilize the data in real-time - providing more tailored and contextually relevant responses.
While, RAG is an exceptional way to enhance your model’s performance when it comes to AI implementation, it can introduce substantial complexity by increasing the surface area developers have to maintain in building an AI application. It requires:
A technical team with in-depth knowledge in AI
Proper infrastructure and budget
Extensive research and planning
Allocated time to develop the solution
With Gradient’s Accelerator Block for RAG, we’re removing these challenges and enabling businesses to develop AI faster without having to sacrifice quality.
Accelerator Blocks, The Fastest Way to Develop AI
If you missed our recent announcement, Gradient Accelerator Blocks are comprehensive building blocks designed for AI use cases - simplifying your AI development process through workload reduction and helping you achieve your goals in a matter of minutes.
Whether you’re spending time on LLM optimization or tackling a specific use case (e.g. document summarization, entity extraction, etc.), our goal is to provide you with the fastest way to develop AI by removing the need to plan, configure, and develop the necessary components that go into your AI application. Build confidently, knowing that each component is production grade quality and uses best-of-breed technologies like LlamaIndex and MongoDB.
Simply select an Accelerator Block or stack multiple blocks together to create more robust and intricate solutions that are low-code, use best-of-breed technologies (e.g. LlamaIndex, MongoDB, etc.), and provide state-of-the-art performance.
