An graph-eval framework for LLM's
The new package transforms a user’s plain‑text search phrase into a structured, BM25‑ranked list of PostgreSQL search results. It takes the query text as input, forwards it to an LLM that rewrites the
Enterprise-grade, cloud-native, serverless full-stack search platform built with Next.js, TypeScript, & Tailwind. Implements a POST-driven, relevance-scored REST API, debounced React UI, schema-validated JSON contracts, in-memory indexing, stateless execution, & edge-optimized deployment on Vercel for low-latency, high-throughput search workloads.
radx-destiller selects publications relevant to the NIH RADx-rad initiative using LLMs.
Enterprise-grade, cloud-native, serverless full-stack search platform built with Next.js, TypeScript, & Tailwind. Implements a POST-driven, relevance-scored REST API, debounced React UI, schema-validated JSON contracts, in-memory indexing, stateless execution, & edge-optimized deployment on Vercel for low-latency, high-throughput search workloads.
🤖 Multi-agent job finder that parses your resume, searches real job boards, filters by date range, and ranks results by relevance — built with Python-first algorithms and minimal AI API usage.
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