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mongodb-partners
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- mongo-rocks
mongo-rocks Public archiveMongoDB storage integration layer for the Rocks storage engine
- maap-framework
maap-framework PublicPre-designed architectures for generative AI use cases.
- MongoDB-RAG-Vercel
MongoDB-RAG-Vercel PublicA starter RAG application for developers to learn and start building;
- Multi-Agent-Architectural-Guidance-Bedrock-AgentCore
Multi-Agent-Architectural-Guidance-Bedrock-AgentCore PublicGuidance on how to deploy agents at scale using AWS Bedrock Agentcore and MongoDB Atlas
- agent-memory
agent-memory PublicAn AI Memory Service that enhances AI agent with long-term memory capabilities, using MongoDB Atlas and AWS Bedrock to provide hierarchical memory structures with importance scoring, semantic searc…
- MongoDB-RAG-Render
MongoDB-RAG-Render PublicA starter RAG application for developers to learn and start building from.
Repositories
- mdb-temporal-pra Public
Production-grade reference architecture for building a durable, change-driven RAG pipeline with a deep-agent chat interface using Temporal + MongoDB Atlas.
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mongodb-partners/mdb-load-test's past year of commit activity - partner-api-quickstart-for-partners Public
Creating this repo for sharing quickstart on MongoDB Partner API for our ISV and Tech Partners
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mongodb-partners/partner-api-quickstart-for-partners's past year of commit activity - mongodb-kiro-power Public
This repository contains the instructions required to setup Kiro power for MongoDB
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mongodb-partners/mongodb-kiro-power's past year of commit activity - Microsoft_Foundry Public
Repo to accumulate samples and templates of code for Azure AI integrations and usecases
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mongodb-partners/Microsoft_Foundry's past year of commit activity - Multi-Agent-Architectural-Guidance-Bedrock-AgentCore Public
Guidance on how to deploy agents at scale using AWS Bedrock Agentcore and MongoDB Atlas
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mongodb-partners/Multi-Agent-Architectural-Guidance-Bedrock-AgentCore's past year of commit activity - agent-memory Public
An AI Memory Service that enhances AI agent with long-term memory capabilities, using MongoDB Atlas and AWS Bedrock to provide hierarchical memory structures with importance scoring, semantic search, and conversation summarization for personalized, contextually-aware interactions.
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