Combine LlamaIndex's retrieval-augmented generation with MultiMail's email infrastructure to build agents that send context-aware, data-grounded emails.
LlamaIndex is the leading data framework for connecting LLMs to external data sources. It specializes in indexing, retrieval, and RAG patterns, making it ideal for agents that need to reference documents, knowledge bases, or prior emails when composing responses. MultiMail provides the email infrastructure layer that LlamaIndex agents need to actually send, receive, and manage messages.
By integrating MultiMail with LlamaIndex, your agents can retrieve relevant context from your data sources, compose informed emails, and send them through managed mailboxes — all while respecting human oversight boundaries. The monitored mode is particularly useful for RAG-powered auto-replies where you want visibility into what the agent sends without blocking every message.
Connect LlamaIndex to MultiMail by defining tool specs that wrap the REST API, or use the @multimail/mcp-server for automatic tool discovery. Both approaches integrate cleanly with LlamaIndex's ReAct agent pattern.
LlamaIndex retrieves relevant context from your knowledge base before composing emails. MultiMail handles the delivery infrastructure, ensuring that RAG-powered responses reach recipients reliably.
RAG-powered emails may contain hallucinated or incorrect information. MultiMail's gated_send mode lets humans review AI-generated emails before delivery, catching factual errors that retrieval alone cannot prevent.
Use LlamaIndex to index your email history from MultiMail's API, then query it for context when composing new messages. Past email threads become part of your retrieval corpus for more contextual replies.
LlamaIndex's ReAct agent can use MultiMail tools alongside retrieval tools. The agent reasons about when to search your knowledge base and when to send an email, combining both capabilities in a single workflow.
Combine MultiMail's manage_contacts and manage_contacts tools with LlamaIndex's retrieval to build agents that know who to email and what context is relevant for each contact.
No code, no dashboard. Paste this to your AI agent — it connects MultiMail, creates an inbox, and builds the flow for you.
Sign up at multimail.dev, create a mailbox, and generate an API key from your dashboard. Your key will start with mm_live_.
Install LlamaIndex core, an LLM provider, and requests for calling the MultiMail API.
Wrap MultiMail API endpoints as LlamaIndex FunctionTool objects for send_email, check_inbox, and reply_email.
Create a ReActAgent with your email tools and optionally a knowledge base query tool for RAG-powered email composition.
If your mailbox uses gated_send mode (the default), review and approve pending emails in the MultiMail dashboard before they are delivered.
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