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  • 👋Welcome to Groclake
  • ⏩Jump right in
  • 🗣️Introduction to Groclake
  • 🧠High level Concepts
    • Agent Discovery
    • Agent Registry
    • Agent Communication
      • Agent Text Transfer Protocol - ATTP
    • Agent Security
      • Agent Private Cloud - APC
      • Authentication & Encryption
      • Zero Trust Policy
  • 💽Installation & Guide
  • 🏗️Groclake Use Cases
  • 📰Groclake Records
  • Example Codes
  • GrocAgent
    • What is GrocAgent?
    • Example Chat Agent
    • Reflections in GrocAgent
      • Workflow of Reflection Handler
  • Lakes
    • 💾Data & Model Management
      • Datalake
        • Create Datalake
        • Retrieve Document
        • Upload Documents
        • Datalake Connections
          • Snowflake integration
      • Vectorlake
        • Creating vector
        • Generating Vector
        • Pushing Vector
        • Retrieve Document
        • Searching Vector
      • Modellake
        • Create Modellake
        • Language Translation
        • Conversation AI
        • Text to Speech
        • Chat Completion
      • Knowledgelake
        • Create Knowledge Base
        • Push Documents from a URL
        • Push Documents from Local Storage
        • Searching for Information
    • ⚒️Tool Management & Gateway
      • Toollake
        • Tools
        • Salesforce CRM Integration
        • Slack Communication Module
        • New Relic Integration
        • Google Calendar Integration
          • Check Slot Availability
          • Get Available Slots
          • Delete Event
          • Create new event
          • Create new calendar event
    • 🤖Agent Management & Deployment
      • Agentlake
        • Register your agent
        • Fetch agent details & categories
        • Create Agent Private Cloud (APC)
        • Assign Agent Private Cloud (APC) to an Agent
      • Promptlake
        • Setting Connection & Initializing
        • Storing a Prompt
        • Fetching a Prompt
        • Example API Calls
      • Memorylake
        • Context Component Examples
        • Value Structure
        • Setup & Guide
        • Storing & Retrieving Memory
        • Wildcard Search
        • Updating Memory Quality
    • 🗃️Index Stores
      • Cataloglake
        • Create catalog
        • Generate Product Data
        • Fetch Catalog Data
        • Push Product Data
        • Optimize Data Retrieval with Catalog Caching
        • Search for Products
        • Filter Product Search
        • Update Product Data
        • Recommend Products Based on Product Name
        • Update Inventory in Catalog
        • Fetch Inventory Details from Catalog
        • Fetch Product Price
        • Update Product Price in Catalog
        • Cache Image in Catalog
        • Sync Your Catalog with external ecomm platforms
        • Deleting items
        • Address Parsing and Intent Extraction
        • Creating Mapper
        • Convert Mapper's Metadata
        • Fetching Mapper
        • Updating Mapper
        • Example use case of Cataloglake
      • Joblake
        • Joblake Mapping
        • Creating a Joblake
      • Resumelake
        • Resumelake Mapping
        • Creating a Resumelake
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  1. Lakes
  2. Index Stores

Cataloglake

Cataloglake is a specialized infrastructure designed for catalog warehousing. It enables the creation of a Cataloglake warehouse—a central repository to store, manage, and distribute e-commerce catalogs efficiently. This foundational system simplifies catalog-related tasks such as indexing, retrieval, and dissemination, supporting various downstream operations like recommendations, semantic search, and intelligent catalog generation. For example, Cataloglake can be used to create recommendation agents, conversational ecommerce search agents, create smart filters, generate catalog using images only, category and product page listing on webstores and many more.

Key Features of Cataloglake:

  1. Comprehensive Product Data Management: Easily generate, update, and retrieve catalog data with built-in tools for creating smart filters and managing structured information.

  2. Inventory and Pricing Management: Seamlessly update inventory levels and pricing details, including discounts and promotional offers.

  3. AI-Powered Search and Recommendations: Integrate advanced semantic search and recommendation engines to enhance user engagement.

  4. Image-Based Cataloging: Generate and manage catalog entries using image recognition, optimizing category and product page listings.

  5. Scalable Integration: Built for seamless integration with existing workflows via intuitive APIs, enabling faster deployment.

Why Choose CatalogLake?

  • Scalable and Robust: Handle large-scale catalog data without compromising performance.

  • Flexible and Customizable: Supports diverse use cases across industries.

  • Developer-Friendly: Simple, well-documented APIs with easy-to-use Python libraries for rapid development.

  • Real-Time Updates: Ensure your catalog stays up-to-date with real-time data management.

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Last updated 1 month ago

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