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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
💬 Try Sophia (RAG on RESTHeart docs) 📚 Full Documentation →

The AI stack we use

Technologies we work with every day on real production projects

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LangChain

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

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MongoDB Vector Search

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

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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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