🗃️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.

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📦 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

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💼 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

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📄 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

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🔗 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