Showing 2 open source projects for "rtp-text"

View related business solutions
  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
    Get Started Free
  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
    Try Free
  • 1
    Searchmonkey III

    Searchmonkey III

    Real-time file search powered by ripgrep. No indexing. No stale result

    Searchmonkey III is a modern desktop search tool for finding text in your files instantly. Originally used by thousands of Linux users, it has been rebuilt from the ground up for macOS, Windows, and Linux. Unlike traditional search tools, it performs real-time searches directly on disk — no indexing, no background services, and no stale results. Powered by ripgrep, it delivers fast, accurate results with support for regular expressions, file filtering, and live previews. ...
    Downloads: 5 This Week
    Last Update:
    See Project
  • 2
    Paul Graham GPT

    Paul Graham GPT

    RAG on Paul Graham's essays

    Paul Graham GPT is a specialized AI-powered search and chat app built on a corpus of essays from Paul Graham, giving users the ability to query and discuss his writings in a conversational way. The repo stores the full text of his essays (chunked), uses embeddings (e.g. via OpenAI embeddings) to allow semantic search over that corpus, and hosts a chat interface that combines retrieval results with LLM-based answering — enabling RAG (retrieval-augmented generation) over a fixed dataset. The app uses a Postgres database (with pgvector) hosted on Supabase for its embedding store, making the backend relatively simple and accessible, and the frontend is again built with Next.js/TypeScript for a modern responsive UI. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next