NOVA INDUSTRIA GALEGA

Integration of business data with AI through RAG & MCP

We connect your business databases with advanced language models using RAG and MCP technologies, allowing your data to work intelligently for you.

RAG & MCP

NOVA INDUSTRIA GALEGA

What is RAG?

Retrieval-Augmented Generation (RAG) is an advanced technique that combines information retrieval with AI-powered text generation.

Accurate answers based on your data

RAG enables language models to access your specific information, generating contextualized and accurate responses based on your own documents and databases.

Always up-to-date information

Unlike traditional LLMs, RAG accesses your data in real-time, ensuring responses are always updated with your company's latest information.

Data control and security

Your data remains in your infrastructure. RAG accesses it securely without the need to train models with your company's sensitive information.

NOVA INDUSTRIA GALEGA

Model Context Protocol (MCP)

MCP is the standard that enables seamless communication between AI models and your business data sources.

Unified integration

MCP provides a standard interface to connect LLMs with multiple data sources: SQL/NoSQL databases, APIs, file systems, and more.

Scalable architecture

Designed to grow with your business, MCP allows adding new data sources and services without needing to reconfigure the entire infrastructure.

NOVA INDUSTRIA GALEGA

Benefits of our RAG & MCP solutions

Transform how your company interacts with its data through advanced AI.

Increase productivity

Enable your team to get instant answers from all your documentation and databases through natural language queries.

Improve decision-making

Access deep insights by combining data from multiple sources, identifying patterns and trends that would otherwise go unnoticed.

Intelligent automation

Automate complex processes requiring data analysis and personalized content generation based on business information.

Privacy and Compliance

Maintain full control over your sensitive data while leveraging the power of advanced LLMs, complying with regulations like GDPR.

Cost Reduction

Optimize investment in customer service and document management, reducing the need for staff dedicated to repetitive tasks.

Total Customization

Adapt the assistant's tone, style, and knowledge to your brand identity and the specific needs of your users.

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Use cases

Practical applications of RAG & MCP in your business

Corporate virtual assistant

Create an assistant that answers questions about policies, procedures, technical documentation, and your company's knowledge base.

Business data analysis

Query and analyze sales, finance, operations, and customer data through natural conversations, generating reports automatically.

Intelligent customer support

Provide accurate answers based on your knowledge base, product manuals, and support ticket history.

Research and development

Accelerate R&D by enabling intelligent searches in technical documentation, papers, patents, and experimental results.

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Our technology

Cutting-edge technology stack for RAG & MCP solutions

Advanced LLMs

We work with the most advanced models: GPT-4, Claude, Llama, and specialized models according to your specific needs.

Vector databases

We use technologies like Pinecone, Weaviate, Qdrant, and ChromaDB for ultra-fast semantic searches in your data.

Optimized embeddings

We implement state-of-the-art embedding models to represent your data in ways that capture deep semantic meaning.

Intelligent orchestration

Frameworks like LangChain, LlamaIndex, and proprietary developments to build robust and efficient RAG pipelines.

Get in touch

Have a question or need support? We're here to help!