Index Stores
Overview
Groclake provides a suite of powerful Index Stores—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.
📦 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.
🔍 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.
💡 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
💼 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.
🔍 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.
💡 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
📄 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.
🔍 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.
💡 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
🔗 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
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