# Developer Resources

- [Developer Overview](https://docs.rememberizer.ai/developer-resources/developer.md): Overview of Rememberizer's developer tools, APIs, and integration options
- [Integration Options](https://docs.rememberizer.ai/developer-resources/integration-options.md): Overview of developer tools and integration options for building applications with Rememberizer's semantic search capabilities
- [Registering and using API Keys](https://docs.rememberizer.ai/developer-resources/integration-options/registering-and-using-api-keys.md): In this tutorial, you will learn how to create a common knowledge in Rememberizer and get its API Key to connect and retrieve its documents through API calls.
- [Registering Rememberizer apps](https://docs.rememberizer.ai/developer-resources/integration-options/registering-rememberizer-apps.md): You can create and register Rememberizer apps under your account. Rememberizer apps can act on behalf of a user.
- [Authorizing Rememberizer apps](https://docs.rememberizer.ai/developer-resources/integration-options/authorizing-rememberizer-apps.md)
- [Creating a Rememberizer GPT](https://docs.rememberizer.ai/developer-resources/integration-options/creating-a-rememberizer-gpt.md): In this tutorial, you will learn how to create a Rememberizer App and connect with OpenAI GPT, allowing the GPT to have access to Rememberizer API funtionality.
- [LangChain integration](https://docs.rememberizer.ai/developer-resources/integration-options/langchain-integration.md): Learn how to integrate Rememberizer as a LangChain retriever to provide your LangChain application with access to powerful vector database search.
- [Vector Stores](https://docs.rememberizer.ai/developer-resources/integration-options/vector-stores.md): This guide will help you understand how to use the Rememberizer Vector Store as a developer.
- [Talk-to-Slack the Sample Web App](https://docs.rememberizer.ai/developer-resources/integration-options/talk-to-slack-the-sample-web-app.md): It is very easy to create a simple web application that will integrate an LLM with user knowledge through queries to Rememberizer.
- [Enterprise Integration](https://docs.rememberizer.ai/developer-resources/enterprise-integration.md): Overview of enterprise integration capabilities, architectural patterns, and deployment strategies for Rememberizer in organizational environments
- [Enterprise Integration Patterns](https://docs.rememberizer.ai/developer-resources/enterprise-integration/enterprise-integration-patterns.md): Architectural patterns, security considerations, and best practices for enterprise integrations with Rememberizer
- [API Reference](https://docs.rememberizer.ai/developer-resources/api-docs.md)
- [Authentication](https://docs.rememberizer.ai/developer-resources/api-docs/authentication.md)
- [Get all added public knowledge](https://docs.rememberizer.ai/developer-resources/api-docs/get-all-added-public-knowledge.md)
- [List available data source integrations](https://docs.rememberizer.ai/developer-resources/api-docs/list-available-data-source-integrations.md)
- [Mementos APIs](https://docs.rememberizer.ai/developer-resources/api-docs/mementos.md)
- [Memorize content to Rememberizer](https://docs.rememberizer.ai/developer-resources/api-docs/memorize-content-to-rememberizer.md)
- [Retrieve current user's account details](https://docs.rememberizer.ai/developer-resources/api-docs/retrieve-current-user-account-details.md)
- [Retrieve document contents](https://docs.rememberizer.ai/developer-resources/api-docs/retrieve-document-contents.md)
- [Retrieve documents](https://docs.rememberizer.ai/developer-resources/api-docs/retrieve-documents.md)
- [Retrieve Slack's content](https://docs.rememberizer.ai/developer-resources/api-docs/retrieve-slacks-content.md)
- [Search for documents by semantic similarity](https://docs.rememberizer.ai/developer-resources/api-docs/search-for-documents-by-semantic-similarity.md): Semantic search endpoint with batch processing capabilities
- [Vector Store APIs](https://docs.rememberizer.ai/developer-resources/api-docs/vector-store.md)
- [Add new text document to a Vector Store](https://docs.rememberizer.ai/developer-resources/api-docs/vector-store/add-new-text-document-to-a-vector-store.md)
- [Get a list of documents in a Vector Store](https://docs.rememberizer.ai/developer-resources/api-docs/vector-store/get-a-list-of-documents-in-a-vector-store.md)
- [Get the information of a document](https://docs.rememberizer.ai/developer-resources/api-docs/vector-store/get-the-information-of-a-document.md)
- [Get vector store's information](https://docs.rememberizer.ai/developer-resources/api-docs/vector-store/get-vector-stores-information.md)
- [Remove a document in Vector Store](https://docs.rememberizer.ai/developer-resources/api-docs/vector-store/remove-a-document-in-vector-store.md)
- [Search for Vector Store documents by semantic similarity](https://docs.rememberizer.ai/developer-resources/api-docs/vector-store/search-for-vector-store-documents-by-semantic-similarity.md): Search Vector Store documents with semantic similarity and batch operations
- [Update file's content in a Vector Store](https://docs.rememberizer.ai/developer-resources/api-docs/vector-store/update-files-content-in-a-vector-store.md)
- [Upload files to a Vector Store](https://docs.rememberizer.ai/developer-resources/api-docs/vector-store/upload-files-to-a-vector-store.md): Upload file content to Vector Store with batch operations


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.rememberizer.ai/developer-resources.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.