Automated QA suite for enterprise Sales Data Agents. Automates ground truth generation and AI-driven answer evaluation to ensure NL2SQL accuracy.
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docs: finalize README and project structure for public portfolio
48315a4View on GitHubsecurity: complete anonymization of all QA levels and update gitignore
8d42880View on GitHubsecurity: remove sensitive data and anonymize prompts for portfolio
e640a28View on GitHubfeat: Add new QA data, agent configurations, deployment scripts, and prompt instructions.
624e15aView on GitHubfeat: Implement initial Sales Data Agent with SOTA data instructions, configuration, sample data, and preparation script.
2dc6e99View on GitHubfeat: Add initial sales agent implementation, including detailed instructions, data schema, and configuration files.
c141f1aView on GitHubfeat: Introduce sales agent with data preparation, deployment, and QA analysis scripts, along with necessary configurations and prompts.
a5dce17View on GitHubfeat: Add data preparation script, sample data, and initial sales agent prompts including tiered QA levels.
b7daa0aView on GitHubfeat: Introduce comprehensive QA prompt levels (L1-L7) for sales agent, including agent configuration and example queries.
b158557View on GitHubfeat: Add a new QA pipeline with scripts for question generation, evaluation, failure analysis, and retesting, along with associated data, prompts, and documentation.
c0635caView on GitHubfeat: Implement L2 QA pipeline with question generation, filtering prompt, and associated data artifacts.
e5e5492View on GitHubfeat: Add new QA datasets, agent prompts, configurations, and a ground truth generation script.
04eeb43View on GitHubfeat: Implement a comprehensive QA data generation pipeline for sales agent evaluation, including ground truth generation, question generation, and associated data/prompts.
395e9a6View on GitHubfeat: Implement multi-level QA generation pipeline with self-correction and detailed agent configuration.
d67afa2View on GitHubfeat: Implement a new QA pipeline with dedicated scripts for question generation, ground truth generation, and evaluation, along with supporting prompts and pipeline run artifacts.
3c3ee97View on GitHub