πŸ—ƒοΈIndex Stores

Overview

Groclake provides a suite of powerful Index Storesβ€”specialized infrastructures for structured data storage, retrieval, and intelligent search. These stores are foundational components of agentic applications, enabling efficient indexing and querying of domain-specific datasets like catalogs, job listings, and resumes.


πŸ“¦ Cataloglake

Cataloglake is a dedicated infrastructure for catalog warehousing in e-commerce environments. It acts as a central repository to store, manage, and distribute product catalog data across webstores, applications, and AI agents.

πŸ” Key Features

  • Comprehensive Product Data Management Generate, update, and retrieve rich catalog data. Includes tools for creating smart filters and managing structured product attributes.

  • Inventory & Pricing Management Sync inventory levels, update pricing details, and apply discounts or promotional offers in real time.

  • AI-Powered Search & Recommendations Integrate semantic search and recommendation agents to drive personalized shopping experiences.

  • Image-Based Cataloging Automatically generate catalog entries from product images using AI-driven recognition models.

  • Scalable API Integration Plug Cataloglake into any existing commerce system via robust and developer-friendly APIs.

πŸ’‘ Real-World Use Cases

  • Conversational search agents for ecommerce

  • AI-generated category and product page listings

  • Dynamic filters based on catalog metadata

  • Image-to-product catalog generation

  • Personalized product recommendations


πŸ’Ό Joblake

Joblake is a job listing and management engine tailored for recruitment and HRTech platforms. It provides structured storage and intelligent querying capabilities using Elasticsearch under the hood.

πŸ” Key Features

  • Structured Job Storage Store job listings with metadata like title, company, location, salary, experience, and required skills.

  • AI-Powered Semantic Search Enable intelligent matching of job opportunities based on natural language queries.

  • Advanced Filtering Filter jobs by location, skillset, salary range, experience level, and more.

πŸ’‘ Real-World Use Cases

  • Career portals with intelligent job search

  • Conversational AI agents for job discovery

  • Internal talent mobility platforms

  • Job alert and notification systems


πŸ“„ Resumelake

Resumelake is a resume indexing and retrieval system designed for ATS (Applicant Tracking Systems), job boards, and AI-powered recruitment solutions. It enables intelligent parsing and matching of candidate profiles to open roles.

πŸ” Key Features

  • Structured Resume Storage Parse and store resumes with structured fields like education, experience, skills, certifications, and more.

  • AI Resume Matching Match resumes to job listings using semantic similarity and relevance scoring.

  • Candidate Filtering Filter candidates by skills, years of experience, education, and more.

πŸ’‘ Real-World Use Cases

  • AI-based candidate recommendation engines

  • Resume search for HR platforms

  • Talent sourcing tools for recruiters

  • Screening agents for high-volume hiring


πŸ”— Why Use Groclake Index Stores?

  • Domain-Specific Indexing: Purpose-built stores for catalogs, jobs, and resumes

  • Semantic Search Ready: AI-native architecture for language-driven queries

  • Scalable & Fast: Built on Elasticsearch and optimized for high-performance querying

  • Developer-Friendly APIs: Easy integration with Python SDKs and RESTful endpoints

  • Agent-Ready: Seamlessly power your agentic applications with structured data sources

Last updated