Prepare and index your knowledge
We organise document and data ingestion and updates. Embeddings represent their content to support enterprise semantic search beyond exact keyword matches.
Explore our Artificial Intelligence solutions for business
Enterprise RAG solutions
Connect your business knowledge with the people who need it. We build assistants that search your documents and systems and use that information to answer questions in natural language.
Your knowledge exists. Finding it takes work.
Scattered documents, difficult searches, repeated questions and disconnected data leave people relying on knowing where to look or whom to ask. Enterprise RAG retrieves relevant context for each query.
RAG development connected to your business
We build AI-powered knowledge bases as part of an integrated solution, from preparing your sources to delivering the interface your team uses.
Retrieve context and answer questions
We retrieve relevant information and provide it to the language model as context for its answers. We define how to display sources and what to do when the available information is insufficient.
Integrate and maintain the solution
We integrate RAG with enterprise systems through APIs and connectors, build the web or mobile interface, and support ongoing maintenance and improvements.
Where RAG can add value
These are potential use cases to assess against your data, permissions and processes. They are not a list of features delivered for Grupo Noria.
Internal knowledge assistants
Look up internal procedures and guidance through a conversational interface to support everyday work.
Documentation search
Find relevant information in manuals, technical specifications or product documentation without knowing its exact location.
Support and operations
Retrieve instructions and context to handle recurring questions or prepare to resolve an issue.
Information in context
Combine document searches with information from enterprise systems that each user is authorised to access.
Security and integration built into the design
We assess who can access each source, which data can leave each system and what traceability the solution needs. Permissions, authentication and connector boundaries are part of design and validation.
Five Flames has been ISO/IEC 27001 certified since 2020. This framework supports our approach to information security management; it does not certify each RAG solution. We validate answers and their limitations using real queries.
REAL PROJECT · GRUPO NORIA / NNEXT
RAG within an enterprise application
NNext lets Grupo Noria employees and customers access product information in natural language. It combines a knowledge base, RAG and embeddings with task-specific agents, SAP and Jira integration, and native iOS and Android apps.
From a focused use case to an evolving solution
Assess data and systems
We review sources, information quality, permissions and required integrations.
Scope a use case
We define who will use it, which questions it should answer and how to evaluate the responses.
Build and integrate
We connect the sources, information retrieval, model and interface.
Validate with real queries
We check relevance, answers, references and enforcement of permissions.
Deploy and improve
We support production deployment, knowledge updates and ongoing improvements.
What knowledge does your team need to find?
Tell us about the information you use and the systems you work with. We can help you define a first RAG use case.