A vector search MCP for document retrieval using MongoDB Atlas Vector Search and Voyage AI Context embeddings.
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Updated
Aug 13, 2025 - Python
A vector search MCP for document retrieval using MongoDB Atlas Vector Search and Voyage AI Context embeddings.
The reviewer dies. The lesson ships. A confirmed production failure becomes a durable review contract in MongoDB — enforced on every future PR in that subsystem by a fresh reviewer that never saw the incident.
Microservice 1: Back-End for the Search Components - Content Lab
Source code for the Gilded Age Gourmet, a cooking chat app based on the Boston Cooking-School Cook Book
RAG assistant on MongoDB Atlas: hybrid vector + lexical search with RRF, VoyageAI re-ranking, and streaming answers from Claude. React + FastAPI proof of concept.
Conversational agent (Google ADK + Gemini 2.5 Flash on Vertex AI) for LinkedIn ambassador programs — integrates the MongoDB MCP Server over Atlas with Vector Search. Google Cloud Rapid Agent Hackathon · MongoDB track.
MongoDB for AI apps: RAG, Atlas Vector Search, Atlas Search, Voyage AI, hybrid retrieval, and agent memory.
Centralized testimonial management platform with unique company pages using TypeScript, MongoDB and optimized data retrieval using GraphQL API. Integrated Redis for efficient caching and provided customizable HTML embed codes for easy integration of testimonials.
Personalised movie recommender that remembers user preferences across sessions using MongoDB Atlas sample_mflix, Vercel AI SDK (Gemini), VoyageAI embeddings, and MongoDB Vector Search memory. One-click Vercel deploy template.
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