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  • Why Rememberizer?
  • Background
    • What are Vector Embeddings and Vector Databases?
    • Glossary
    • Standardized Terminology
  • Personal Use
    • Getting Started
      • Search your knowledge
      • Mementos Filter Access
      • Common knowledge
      • Manage your embedded knowledge
  • Integrations
    • Rememberizer App
    • Rememberizer Slack integration
    • Rememberizer Google Drive integration
    • Rememberizer Dropbox integration
    • Rememberizer Gmail integration
    • Rememberizer Memory integration
    • Rememberizer MCP Servers
    • Manage third-party apps
  • Developer Resources
    • Developer Overview
  • Integration Options
    • Registering and using API Keys
    • Registering Rememberizer apps
    • Authorizing Rememberizer apps
    • Creating a Rememberizer GPT
    • LangChain integration
    • Vector Stores
    • Talk-to-Slack the Sample Web App
  • Enterprise Integration
    • Enterprise Integration Patterns
  • API Reference
    • API Documentation Home
    • Authentication
  • Core APIs
    • Search for documents by semantic similarity
    • Retrieve documents
    • Retrieve document contents
    • Retrieve Slack content
    • Memorize content to Rememberizer
  • Account & Configuration
    • Retrieve current user account details
    • List available data source integrations
    • Mementos
    • Get all added public knowledge
  • Vector Store APIs
    • Vector Store Documentation
    • Get vector store information
    • Get a list of documents in a Vector Store
    • Get document information
    • Add new text document to a Vector Store
    • Upload files to a Vector Store
    • Update file content in a Vector Store
    • Remove a document in Vector Store
    • Search for Vector Store documents by semantic similarity
  • Additional Resources
    • Notices
      • Terms of Use
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      • B2B
        • About Reddit Agent
  • Releases
    • Release Notes Home
  • 2025 Releases
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  • 2024 Releases
    • Dec 27th, 2024
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    • Dec 6th, 2024
  • Nov 29th, 2024
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  • Jan 29th, 2024
  • Jan 22nd, 2024
  • Jan 15th, 2024
  • LLM Documentation
    • Rememberizer LLM Ready Documentation
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On this page
  • What is common knowledge
  • Add public common knowledge
  • Create a common knowledge
  1. Personal Use
  2. Getting Started

Common knowledge

Enhance your knowledge or get started fast by adding AI access to pre-indexed data from us and others.

PreviousMementos Filter AccessNextManage your embedded knowledge

Last updated 2 months ago

What is common knowledge

In Rememberizer, registered users (publishers) can select their uploaded documents through mementos and share them publicly as common knowledge. Other users (subscribers) can access this public knowledge and add it to their own resources.

By contributing their data, other users can collectively enhance the available information on the common knowledge page. This collaborative approach allows all users to access a richer data source, thereby improving the learning capabilities of their AI applications.

Add public common knowledge

In order to subscribe a common knowledge to your resource, follow the instructions below

  • On navigation bar, choose Personal > Common Knowledge. Then, you will see the public common knowledge page.

  • Then, look for the common knowledge you want to subscribe. You can look up the knowledge by typing the knowledge's name on search bar. You can optionally choose the filter option next to the search bar.

  • Then click Add button on the public common knowledge. After successful subscribe, you will see the Add button change to Remove button.

  • Later, if you want to remove a subscribed knowledge, click the Remove button.

Create a common knowledge

For detailed instructions of creating and sharing a common knowledge, visit this page https://github.com/skydeckai/rememberizer-docs/blob/production/en/developer/registering-and-using-api-keys.md.

Common knowledge is built on the foundation of , which allow you to control exactly which documents are shared. Once created, developers can access your common knowledge through APIs to build custom applications or integrate with and .

Mementos
LangChain
OpenAI GPTs
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Example of a search result
Unadded common knowledge
Added common knowledge
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public ck page
Filter of search bar
Example of a search result
Unadded common knowledge
Added common knowledge