RAG

The lack of structured access to internal knowledge bases limits generative model accuracy, producing imprecise responses or hallucinations. Evox implements Retrieval-Augmented Generation pipelines that integrate corporate data sources with language models to ensure contextual and

1. 01

   Private LLM

   Enterprises require language models that operate on their data without compromising confidentiality or relying on external APIs. Evox deploys private LLM instances trained on corporate information, ensuring security and total control.

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2. 02

   Vector Databases

   Traditional databases do not scale for semantic searches on large volumes of unstructured data. Evox implements high-dimensionality vectors and optimized indexing systems for information retrieval and generative AI applications.

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3. 03

   Data Pipelines

   Data silos fragment information across systems, impeding continuous data flow for decision-making. Evox automates data ingestion, transformation, and delivery through orchestrated pipelines, ensuring integrity and real-time availability.

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4. 04

   IA Conversacional

   Los equipos comerciales dedican tiempo excesivo a consultas repetitivas, reduciendo su capacidad de cierre y escalamiento. Evox despliega arquitecturas de agentes conversacionales que integran procesamiento de lenguaje natural con flujos de negocio para automatizar la gestión de interacciones en tiempo real.

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5. 05

   Prompt Engineering

   Generative AI implementations often fail due to poorly structured prompts leading to inconsistent outputs and unpredictable operational costs. Evox applies prompt engineering methodologies based on iterative refinement and continuous validation to align LLM outputs with business objectives.

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6. 06

   IA para Contenido

   Content production at scale is constrained by manual processes and lack of personalization. Evox integrates generative models and performance data to automate content creation and optimization aligned with business objectives.

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