Unlock the Power of Advanced RAG with Superteams.ai
Cutting-edge Retrieval-Augmented Generation (RAG) techniques without the overhead of building an in-house AI team. With optimized reranking, chunking, and vector storage, we help companies deploy smarter, faster, and more powerful AI solutions at a fraction of the cost.
On-Demand AI Developers, to Build Advanced RAG Applications
Our experts deploy advanced RAG workflows powered by top-tier AI models, including Llama3.2 / Llama3.1, Mistral-7B, or GPT-4o, to transform your unstructured data into actionable insights
Ensemble of AI Models for Optimized AI Workflows
By leveraging a mix of small and large LLMs, we create custom AI workflows that are both efficient and highly adaptable. This ensemble approach ensures that responses are balanced between speed, accuracy, and cost, allowing us to deliver solutions tailored to each business use case.
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Optimized Chunking and Ingestion for Unstructured Data
Our chunking strategy ensures optimal data segmentation for highly efficient retrieval and processing. Combined with refined ingestion techniques, we create applications that efficiently handle vast unstructured datasets with unparalleled speed.
Get StartedDiverse Vector Stores for Scalable, Custom Solutions
Whether using Chroma, Qdrant, or pgvector, we select the best vector store to fit your data needs. With built-in flexibility for growth, we help companies deploy scalable AI architectures tailored to their workflows, from retrieval to generation.
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Our Process: From Consultation to Delivery
Your dedicated team starts with a Project Manager, who’ll engage the other talent needed for your success.
Initial Consultation
We assess your business needs and identify areas where advanced RAG applications can drive value, creating a custom roadmap for your AI solution.
Technical Scoping
Our team of AI experts defines the project’s technical requirements, selecting the most effective models, tools, and workflows to meet your objectives.
Data Preparation
We guide data gathering, preparation, and ingestion, ensuring your unstructured data is ready for seamless integration into RAG workflows.
Model Deployment
Using a mix of optimized LLMs and RAG strategies, we deploy the AI solution, tailored for fast, precise, and relevant retrieval.
Iterative Testing
Through rigorous testing and fine-tuning, we ensure your solution performs accurately under various use cases, improving its effectiveness.
Solution Delivery
We provide you with a fully operational RAG solution, along with documentation, training, and ongoing support for smooth operation and scaling.