Speed Up AI Development: Building RAG applications with Gradient Accelerator Blocks

#llm #genai #gradient #LlamaIndex #mongodb #ai #rag #architecture
What is RAG(Retrieval Augmented Generation)?
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
What is Gradient Accelerator Blocks?
Gradient Accelerator Blocks is a library of building blocks for AI use cases, helps to reduce developer workload and help businesses to achieve their goals in a minimal time.
Each block can be used as is or combined to create more robust and intricate solutions that are low-code, use best-of-breed technologies, and provide state-of-the-art performance.
Gradient’s newest Accelerator Block focuses on enhancing the performance and accuracy of a model through retrieval augmented generation (RAG). The Accelerator Block uses Gradient’s state-of-the-art LLMs and embeddings, MongoDB Atlas Vector Search for storing, indexing, and retrieving high-dimensional vector data, and LlamaIndex for data integration
Gradient designed the Accelerator Block for RAG to improve development velocity up to 10x by removing the need for infrastructure, setup, or in-depth knowledge around retrieval architectures. It also incorporates best practices in document chunking, re-rankers, and advanced retrieval strategies.
Signup - gradient.ai/
Create New Workspace
gradient.ai/pr...
Model Testing
Accelerator Blocks - Question and Answers, Sentiment Analysis, Entity Extraction, Document Personalization and Document Summary
Fine Tuning
RAG collection
API - docs.gradient....
Gradient Accelerator blocks are cehensive building blocks designed for AI use cases, providing pre-packaged AI that you can easily plug into your business workflows. Simplify your AI development process by reducing your overall workload.Rapid Development.Uncompromising Quality.Modular by Design.
The Gradient accelerator blocks integrate with industringleading tools like Mongo DB, Open Source Models, LlamaIndex to guicly build the AI for business.