Sample FAQs

Question 1

What is Sample?

Accepted Answer

Sample is an AI assistant application that integrates a FastMCP server, MongoDB Atlas as a knowledge base, and an LLM endpoint, designed to provide advanced AI functionality through direct tool calling.

Question 2

How does Sample leverage LLMs and MCP tools?

Accepted Answer

Sample implements a unique flow: User queries go to the LLM, which directly calls FastMCP tools. These tools query MongoDB Atlas for information, and the retrieved documents are then processed by the LLM to generate intelligent, context-aware responses.

Question 3

What data sources can Sample integrate with?

Accepted Answer

Sample seamlessly integrates with MongoDB Atlas for document storage, search, and acting as a knowledge base. It also includes GitHub integration for automated ingestion of repository documents, expanding its data processing capabilities.

Question 4

What are the main functionalities offered by Sample's API?

Accepted Answer

Sample provides a comprehensive REST API with endpoints for chat completion (powered by LLM and MCP tool calling), GitHub repository ingestion, document search within its knowledge base, and document count retrieval. It also features auto-generated Swagger/ReDoc documentation.

Question 5

What are the prerequisites to set up and run Sample?

Accepted Answer

To run Sample, you will need Python 3.12+, Poetry for dependency management, a MongoDB Atlas account and cluster, a GitHub token for repository ingestion, and access to an LLM endpoint.

Sample

Sample

Key Features

Use Cases

Key Features

Use Cases