This customer, a GenAI service provider, manages the daunting task of processing hundreds of billions of data records and millions of queries every day. Facing challenges such as data volume management, maintaining query speed, and ensuring accurate analytics, they require an AI RAG system capable of performing real-time analytics on massive datasets.
High cost of storage and retrieval
Managing hundreds of billions of vectors costs tens of millions per month, creating financial strain.
Performance bottlenecks
The legacy system struggles to handle millions of daily queries with sub-100ms response times, affecting real-time performance.
Low search accuracy
Poor search accuracy and lack of multi-path recall mechanisms lead to unreliable results, impacting business effectiveness.
Complex infrastructure dependencies
Managing multiple retrieval components adds complexity, with each new tool requiring security approval and creating operational inefficiencies.
The Relyt GenAI solution transforms unstructured data, including text and images, into vectors using embedding models and securely stores these vectors in vector databases. When an application accesses the data, it first retrieves semantically related text from the vector database. This text, along with user queries, is sent to Large Language Models (LLMs) as context or prompts. The LLMs then process and return the answers to the applications. This method effectively resolves challenges related to data privacy and the 'hallucination' issues commonly faced with LLMs.
(Retrieval-Augmented Generation)
Customer Benefits
Cost efficiency at scale
Save millions monthly, reducing storage and retrieval costs for large-scale vector data.Save millions monthly, reducing storage and retrieval costs for large-scale vector
High performance
Support millions of queries daily with sub-100ms response times for real-time results.
Accurate search
Ensure precise results with high accuracy and multi-path recall mechanisms.
Streamlined management
We handle infrastructure, freeing the customer to focus on strategy, not complexity.
Search optimization
Easily adjust models and parameters for tailored search and ranking performance.
Secure and compliant
Safeguard data with robust security and governance, meeting all compliance standards.
10M+
chats
10M+
files
Real-time updates
Multimodal index
90%
reduction in TCO