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Artificial Intelligence

Multidisciplinary Agent with RAG

Intelligent assistant with advanced RAG architecture for accurate responses based on proprietary knowledge.

All Cases
Challenge

Organization with knowledge dispersed across multiple systems and domains needed an intelligent assistant capable of accurately answering technical and business questions using proprietary knowledge base.

Solution

We developed an AI agent with advanced RAG architecture, multiple MCPs (Model Context Protocols) for distinct contexts, and anti-hallucination layers to ensure accurate and verifiable responses based on real documentation.

Results
  • Accurate responses based on proprietary knowledge
  • Reduced information search time
  • Integration with multiple data sources
  • Automatic validation against hallucinations
Technologies

Tools and Platforms

LangChainLangChain
OpenAIOpenAI
PineconePinecone
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