Retrieves the passages that answer a query, ingests documents from files, URLs or raw text, and keeps the indexed material current.
31actions available
Every action runs live through MCP. Nothing to build, nothing to maintain.
Ayro uploads and processes a document file in Ragie for immediate ingestion into the knowledge base. The document is parsed, indexed, and ready for RAG queries within moments.
Ayro finds the most relevant document chunks in Ragie based on a customer query. The agent cites specific passages so the customer knows exactly where the answer came from.
Ayro retrieves the full content of a specific chunk in the requested format with streaming support. The customer sees the exact text or media they need without truncation.
Each card is one request a support team gets, and the Ragie actions Ayro runs to close it.
Ayro retrieves the document chunks that match a query, fetches the content of the most relevant one, and falls back to a generated summary when the question is about a whole document.
Ayro uploads a document file, ingests one from a publicly accessible URL, or pushes raw text or JSON straight in, so a policy change or a new article is searchable without a manual import.
Ayro refreshes a document from its source URL when the page changes, patches metadata fields without replacing the rest, and deletes material that has been superseded.
Ayro defines a natural-language instruction that runs against documents as they are ingested or updated, then reads back the entities it produced per document or per instruction.
How it works
Connect once, then just ask. There is no workflow builder to learn and nothing to maintain — Ayro reads the Ragie actions it has and picks the ones a request needs.
Authorize the Ragie account your team already uses — one consent screen, no API keys, no mapping tables. Ayro can only do what you granted that account, and you can disconnect it at any time.
Describe the job the way you would hand it to a teammate. Ayro maps it to the Ragie actions that close it and chains as many as the request needs.
The agent runs the actions inside the conversation the customer is already in, so nobody copies data between tabs and your team can take over at any point.
Get started freeRagie · Ayro
What can you do in Ragie without me setting anything up?
These, right away:
Great, let's start with the first one.
FAQ
Setup, permissions, and the limits of what Ayro can do inside Ragie.
Yes, that is what partitions are for. Create Partition scopes documents and connections to a workspace, Set Partition Limits caps monthly and maximum pages processed or hosted plus video and audio processing, and Get Partition returns the usage statistics and limits for one of them.
All 31 actions your agent can call on Ragie, straight from the live MCP connection.
Upload and process a document file in Ragie.
Ingest a document from a publicly accessible URL.
Ingest a document as raw text or JSON.
Create a new instruction that applies natural language directives to documents as they're ingested or updated.
Create an OAuth redirect URL for initializing embedded connector OAuth flows.
Create a new partition for scoping documents and connections in Ragie.
Delete a document from Ragie.
Delete an instruction and all associated entities.
Delete a partition and all associated data irreversibly.
Retrieve a specific document by its unique identifier.
Retrieve a specific document chunk by its document and chunk ID.
Retrieve document chunk content in requested format with streaming support for media.
Retrieve document chunks with pagination support.
Retrieve the content of a document by its ID.
Retrieve an LLM-generated summary of a document by its ID.
Retrieve a partition by ID with usage statistics and resource limits.
Retrieve a response by its unique identifier.
List all connections sorted by creation date descending with pagination support.
List available connection source types like 'google_drive' and 'notion' along with their metadata.
List all documents sorted by creation date (descending) with pagination support.
Retrieve all extracted entities from a specific document with pagination support.
Retrieve entities generated by a specific instruction.
Retrieve all instruction records from the Ragie system.
Retrieve a paginated list of all partitions sorted by name in ascending order.
Update metadata for a specific document with partial update support.
Retrieve relevant document chunks based on a query.
Set usage limits on partition pages and media.
Update an existing document by fetching content from a publicly accessible URL.
Update a document's content from raw text or JSON data.
Update an instruction's active status.
Same connection, same setup. Pick the next one your team already uses.
Starts cloud browser tasks, polls their progress step by step, kills a stuck run and fetches the files a task produced.
Searches model endpoints, estimates what a run will cost, follows a queued request through its logs, and returns or cancels it on request.
Searches datasets, models, and competitions, publishes and versions datasets, pulls notebook code and output, and files competition entries.
Reports on running batch and fine-tuning jobs, maintains and searches vector stores, transcribes or voices audio, and runs moderation and evals.
Reports Stack AI health and license status, lists available providers, actions, and triggers, and returns the schema each one expects.
Queries a knowledge graph for grounded answers, uploads and indexes new documents into it, and unlinks the files that have gone out of date.

Authorize the account and your agent has all 31 actions from the first conversation.
