AI writes code. Someone needs to know if it's right.

Development teams using AI get very different results. The difference is not in the tool: it's in who can evaluate, integrate and govern what AI produces.

Sophia

Your organization accumulates knowledge every day: documents, procedures, contracts, manuals. That knowledge stays locked in files no one reads. Sophia transforms that knowledge into a conversational assistant that answers precisely, citing sources, using RAG (Retrieval-Augmented Generation) technology with Claude by Anthropic, available on RESTHeart Cloud.

Key Features

  • Supports PDF, text, HTML and Markdown
  • Advanced semantic search (not keyword)
  • Contextual conversations with follow-ups
  • Enterprise security with JWT
  • Multilingual responsive interface

Benefits

  • Zero infrastructure to manage
  • Automatic deployment
  • Role-based access control
  • Privacy: data not used for training
  • Integrated monitoring and analytics

The AI stack we use

Technologies we work with every day on real production projects

LangChain

LLM pipeline orchestration, agents and tool calling. We build complex chains that integrate models, retrieval and business logic.

MongoDB Vector Search

Semantic search and RAG directly inside MongoDB. No extra infrastructure: embeddings, vector indexes and operational data in the same cluster.

AWS Bedrock

Foundation models on AWS infrastructure: Claude, Llama, Titan. Native integration with IAM, VPC and the AWS services already in your stack.

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