repoGitLabTrust 82 · PrimaryPublished 14d agoLive · 14d ago
jojithedev/lagniappe
An end-to-end AI data pipeline for attributing outcomes that arrive months after the interaction that caused them: entity resolution, structured LLM enrichment, and an eval harness over synthetic data with hidden ground truth. Go + SQLite.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 52%Evaluating AI Agents: A production blueprint with Strands and AgentCore →
- PossiblePossibly related (embedding) · 52%From experiment to production: A reliable architecture for version-controlled MLOps →
- PossiblePossibly related (embedding) · 50%From Data to Production: An End-to-End Automated ML Pipeline in Snowflake - Snowflake →