Showing 3 open source projects for "data quality cleansing"

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.
    Start Free
  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
    Start Free
  • 1
    rag-search

    rag-search

    RAG Search API

    ...It is built to be easily deployable, requiring only environment configuration and dependency installation to run a functional RAG service. The system supports configurable filtering, scoring thresholds, and reranking options, allowing developers to fine-tune retrieval quality. Its architecture is modular, separating handlers, services, and utilities to support customization and extension. Overall, rag-search serves as a practical starter backend for teams building AI search or question-answering applications on their own data.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2

    UniversalTextExtractor

    Command-line toolset for extracting text from files

    Command-line toolset for extracting text from files (documents, images, archives) into SQLite with OCR support. Simple, expandable, one shell script only.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    A simple little engine to do fuzzy name & address searching. Helps improve data quality and avoids duplicate data entry.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next