ContextGem: Effortless LLM extraction from documents
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Updated
Jun 6, 2026 - Python
ContextGem: Effortless LLM extraction from documents
Use LLMs to robustly extract web data
Simplifies the retrieval, extraction, and training of structured data from various unstructured sources.
🕵️♂️ Privacy-focused AI job scraper, local storage, and interactive dashboard. Auto-scrapes AI/ML roles from top companies using ScrapeGraph-AI + LLM and LangGraph Agents, filters for relevance, and provides a Streamlit UI for tracking applications. Built for developers seeking AI careers.
HTML to Markdown with CSS selector and XPath annotations
Lightfeed SDK to search and filter web data
Schema-first LLM extraction framework with entity grounding, multi-pass extraction, and deterministic post-processing
CORSA is a Python tool for scraping, cleaning, and analyzing AUA course data from SONIS and GenEd sources.
Agent-driven research of 100 apps across auth, self-serve, APIs, and MCP support. Verified accuracy with cross-checks. Single-page dashboard with computed insights.
HAIR is a semantic Hardware Abstraction IR describing silicon devices with normalized peripherals, registers, fields, timing, and constraints. Every element carries provenance, enabling reliable generation of SVDs, PACs, HALs, simulators, and documentation.
Competitive exam question extraction pipeline using llm free-teirs
AI-Native Spec-Driven Development framework for Claude Code com integracao nativa ao GitHub
Pipeline automatizzata per la ricerca di acceleratori in Europa e l'analisi dei portfolio startup.
Generates FAQs for any website using Firecrawl
AI-agent-driven venue governance database. Extracts editorial boards and program committees from journal websites using local LLMs, with entity resolution against OpenAlex.
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