AI Integrations

Amazon Web Services

AWS documents Bedrock Agents as an orchestration layer that plans multi-step tasks, optionally uses Knowledge Bases, and invokes Action Groups (APIs/Lambda) to integrate Bedrock models with enterprise backends.

Anthropic

Anthropic documents tool use on the Messages API so Claude can request structured tool invocations that the client executes and returns, forming the integration contract between Claude and external systems.

Google

Google AI documents function calling for Gemini so applications can declare functions the model may call, then execute those functions and return results—Google’s primary integration pattern for connecting Gemini to app logic and APIs.

OpenAI

OpenAI documents Custom Actions for GPTs so a GPT can call external HTTP APIs via an OpenAPI schema, enabling tool-style integrations from ChatGPT into third-party systems when configured by the builder.

Google Cloud

Google Cloud documents Vertex AI Extensions as a way to connect generative models on Vertex AI to external APIs and enterprise systems for tool-augmented workflows under GCP IAM.

Make

Make (formerly Integromat) documents OpenAI modules so scenarios can call OpenAI APIs as steps in visual automations connecting hundreds of other apps.

n8n

n8n documents OpenAI nodes so workflow automations can call OpenAI models as steps alongside other app integrations in self-hosted or n8n Cloud environments.

Zapier

Zapier documents an OpenAI app/integration that lets Zaps send prompts and receive completions from OpenAI models inside multi-app automation workflows, using OpenAI credentials configured in Zapier.

GitHub

GitHub documents Copilot as an AI pair-programmer integrated into supported IDEs and editors (VS Code, JetBrains, Visual Studio, Neovim, and related surfaces) plus GitHub.com chat experiences where enabled.

Microsoft

Microsoft documents integrating Azure OpenAI Service with Power Platform (Power Automate, Power Apps, Copilot Studio patterns) so organizations can call Azure-hosted models from low-code workflows under Azure identity and governance.

Google

Google documents Gemini for Google Workspace as generative AI features integrated into Gmail, Docs, Sheets, Meet, and related Workspace apps for eligible Workspace editions.

Microsoft

Microsoft documents Microsoft 365 Copilot as an AI assistant integrated into Microsoft 365 apps (Word, Excel, PowerPoint, Outlook, Teams, and related surfaces) grounded on Microsoft Graph data with enterprise controls.

Salesforce

Salesforce documents Agentforce and Einstein generative AI capabilities that integrate AI agents and assistants into Salesforce CRM clouds with Salesforce Trust and admin controls.

Salesforce / Slack

Slack documents Slack AI features (summaries, search, and related assistants) that integrate generative AI into Slack workspaces under Slack’s product and admin controls.

LangChain

LangChain documents Anthropic chat model integrations so Claude can be invoked through LangChain abstractions using Anthropic API credentials and Messages API semantics.

LangChain

LangChain documents first-class OpenAI chat and embeddings integrations so application code can call OpenAI models through LangChain’s runnable/chain abstractions while using OpenAI API credentials.

LlamaIndex

LlamaIndex documents OpenAI LLM and embedding integrations used to power indexing and query pipelines (RAG) against OpenAI models with OpenAI API keys.

Vercel

The Vercel AI SDK documents a unified TypeScript interface for streaming UI and server helpers across multiple model providers (OpenAI, Anthropic, Google, and others as listed in its provider docs).

Amazon Web Services

AWS documents Bedrock Knowledge Bases as a managed RAG integration that connects foundation models on Bedrock to enterprise data sources for retrieval-augmented generation under AWS IAM and regional controls.

Cohere

Cohere documents retrieval-augmented generation patterns (including chat with documents/connectors where offered) that integrate Command models with retrieved enterprise or web knowledge under Cohere’s API.

Snowflake

Snowflake documents Cortex AI as SQL and platform functions that bring LLM and ML capabilities into the Snowflake Data Cloud, integrating model inference with governed warehouse data.

Databricks

Databricks documents Mosaic AI Model Serving as a way to deploy and query ML/LLM endpoints inside the Databricks Lakehouse, integrating inference with Unity Catalog governance and Databricks workflows.

Hugging Face

Hugging Face documents Inference Endpoints as a managed deployment integration for Hub models, exposing HTTPS inference endpoints that applications call with HF tokens.

Replicate

Replicate documents running and deploying machine learning models via versioned containers with an HTTP API, integrating third-party apps to model versions hosted on Replicate.