Seamlessly integrate and deploy various
Retrieval-Augmented Generation systems
into a unified powerhouse
Get full AI potential: Access a dynamic RAG library that allows you to choose the perfect tool for every task.
Smarter than ever: aggRAG’s innovative evaluation adapts in real-time, ensuring the most accurate and relevant responses.
Effortless powerhouse: Enjoy seamless cloud integration, no-code/low-code scalability, and expert AI support for unparalleled performance.
Challenges and Solutions
Current enterprise-level challenges
aggRAG solutions
- Numerous use cases – Each requires a new LLM-based RAG (Retrieval Augmented Generation) implementation
- Real-time RAG Directory – RAG Store: A directory of RAGs where users can select multiple LLM implementations in real-time
- Unreliable Performance – It is unpredictable which LLM will effectively serve the intended use case, leading to high costs and inefficiency
- Customized Evaluation – A tailored evaluation system that adapts to user needs and continuously improves through human feedback
- New LLM/RAG Releases – The developer community consistently introduces promising LLMs and RAG implementations, heightening the fear of missing out on important ones
- Ease of Integration – Streamlined multi-RAG integration, facilitating the testing of new LLM implementations.
- Reliable Source for LLMs – No dependable source currently exists for accessing the latest LLM models
- Customized for Efficiency – Utilizing LLMs like Llama 2 70B/13B, OpenAI, and Mixtral, with cached past interactions to optimize cost efficiency
Advanced Enterprise RAG Solutions for Seamless Integration and Performance
Diverse use cases
aggRAG supports enterprise needs through customizable RAG implementations tailored for specific applications.
Enhanced scalability and performance
Facilitates scalable, no-code implementations optimizing performance to meet growing business demands.
Optimized for cloud
Tailored for cloud environments, ensuring compatibility and enhanced performance across infrastructures like Azure, NVIDIA, GCP, AWS, etc.
Innovative integration
Features a real-time RAG store and bespoke evaluation, enabling dynamic responses to complex queries.
Accessibility across the organization
The robust API simplifies integration and utilization of RAG capabilities for all teams within the organization.
Tailored Solutions for Enterprise RAG Integration
Cloud partnership
Our advanced RAG architecture is centered on efficiently managing data input, response generation, evaluation, and user feedback.
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01
Data Input
Data Input
Users can manually input data or automatically fetch it (e.g., from enterprise documents, call transcripts) from databases and data lakes to pose queries.
02
Generation and Caching
Generation and Caching
Queries span multiple RAG implementations selected from a ‘RAG store’. Generated answers are cached for efficient retrieval in future responses.
03
Evaluation
Evaluation
Answers undergo scoring by an evaluator and are compared against benchmark scores tailored to the specific use case. The highest-scoring answer exceeding the predefined threshold is delivered to the user.
04
Feedback
Feedback
Users receive one answer and provide 5-star ratings. Answers rated 5 stars serve as ground truth, refining future evaluations and responses.
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Services
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Management
Educational Tools &
Learning
Healthcare
Diagnostics
Human
Resource
Data Analytics and
Reporting
Research &
Development
Customer Support
Automation
Legal &
Compliance
Supply Chain &
Logistics
Financial
Services
Content Creation &
Management
Educational Tools &
Learning
Healthcare
Diagnostics
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