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Development Roadmap

Next steps would entail:

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Over a period 0f 4-6 months: Going from a proof-of-concept to a production-ready platform:

Proposed way forward:

  • Refinement of Retrieval Mechanism: Enhance the AI's ability to accurately source and retrieve relevant data.

    • Re-visit Architecture

    • Evaluate vectorstores (Vectorstore/Knowledge Graph)

    • Set up Semantic Retrieval

  • Enrichment of Sources: Expand and diversify the data sources to improve the tool's comprehensiveness.

  • Fine-Tuning for Quality: Optimize the AI algorithms to ensure high-quality, accurate compliance term generation.

    • Set up evaluation RAG Triad with set of evaluation questions

    • Iterate with:

      • Re-rank,

      • Sentence-window and

      • Auto-merging Retrieval

    • Self-evaluation by LLM

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Milestone after 3 months: Internal Beta Roll-out:

  • POC to Production in AWS: Transition the Proof of Concept (POC) into a full-scale production environment on AWS.

  • Integration with Mapper Team: Provide the tool to the mapper team for human validation, ensuring accuracy and reliability.

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Milestone after 4-5 months: External Beta Roll-out:

Following successful internal use and quality benchmarks, release the tool externally as a feature of the Dictionary solution.

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