Custom AI Agent Development Service with RAG

Need an AI agent that can do more than answer simple questions? Smart Work develops custom AI agents around the task you actually want to handle. The project can be built around your own information, selected tools, memory and structured workflows, depending on what your use case requires.

You can request an agent for working with documents, researching information, planning tasks, handling automation, interacting with APIs or supporting a more advanced AI workflow. The service is not limited to one fixed type of assistant, so the first step is understanding what you want the agent to do.

Delivery: 16 Business Days

Revisions: 1 Revision

Price: $699

Choose the Agent Use Case That Fits Your Project

The service can be used for several types of AI agent projects. You may need a RAG-powered chatbot that works with PDFs, a website or Notion. You may instead need an AI agent for research, automation or task planning.

Other possibilities listed in the service include multi-agent systems built with LangGraph or CrewAI, voice-based personal assistants using Whisper and ElevenLabs, and agents that can email, scrape information, summarize content or interact with APIs.

When you contact Smart Work, explain the result you want and the type of work the agent should handle. The implementation is then shaped around that use case.

Work With Your Own Knowledge

RAG, or Retrieval-Augmented Generation, allows the agent to retrieve information from a connected knowledge source before producing a response.

This is useful when an AI system needs to work with information that belongs to your project rather than relying only on general model knowledge. The service can support RAG-powered chatbots using PDFs, websites or Notion as the information source.

The goal is to connect the agent to the information it needs so it can work with the right context during the task.

Give the Agent the Right Tools

Some tasks require an AI agent to take action rather than simply respond.

The service includes tool use for tasks such as calling APIs, scraping web information, using calculators or querying databases. The tools used depend on the requirements of your project.

This makes the agent suitable for workflows where information needs to be collected, processed or passed to another system as part of the requested task.

Keep Useful Context With Memory

Memory is included for projects that require context to be retained during the agent's work.

The service supports both short-term and long-term memory. This allows the AI agent to keep relevant information available when the project calls for it rather than treating every step as an isolated interaction.

Memory can be combined with the agent workflow according to the type of system being developed.

Build Structured Workflows With LangGraph

For more advanced projects, LangGraph can be used to organize the agent workflow and maintain control over its state.

This is useful when the process contains several connected steps or when the agent needs to move through a defined sequence of actions. LangGraph or CrewAI can also be used for multi-agent systems where the project calls for more than one specialized agent.

The framework used depends on the requirements of the project.

What You Receive

Your project includes the custom AI agent development requested for the agreed use case, together with the capabilities required from the service scope.

This can include:

• Retrieval-Augmented Generation (RAG)
• Tool use for APIs, web scraping, calculators and database queries
• Short-term memory
• Long-term memory
• LangGraph agent workflows with state control
• Streamlit or FastAPI web interface when requested
• RAG-powered chatbot using PDFs, websites or Notion
• AI agents for research, automation or task planning
• Multi-agent systems using LangGraph or CrewAI
• Voice-based personal assistants using Whisper and ElevenLabs
• Agents that can email, scrape, summarize or interact with APIs

Tell Us What You Want to Build

A custom AI agent works best when its purpose is clearly defined from the beginning.

Before ordering, send your project objective, the information or documents the agent should work with, the actions it needs to perform and any tools, APIs or systems involved.

You do not need to describe the technical architecture yourself. What matters most is explaining what you want the agent to accomplish and how you expect it to be used.

Smart Work will use those requirements to build the appropriate AI agent for the project.

A Custom AI Agent for a Specific Job

This service is a good fit when a standard chatbot is not enough and your project needs an agent connected to information, tools, memory or a multi-step workflow.

The final implementation depends on the use case you select and the capabilities needed for that project. Streamlit or FastAPI can be requested when a web interface is needed, while RAG, memory, tool use and LangGraph workflows are included according to the requirements of the service.

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