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AzureDataRetrievalAugmentedGenerationSamples/Python/CosmosDB-NoSQL_VectorSearch/CosmosDB-NoSQL-Vector_AzureOpenAI_Tutorial.ipynb at main · microsoft/AzureDataRetrievalAugmentedGenerationSamples
AzureDataRetrievalAugmentedGenerationSamples/Python/CosmosDB-NoSQL_VectorSearch/CosmosDB-NoSQL-Vector_AzureOpenAI_Tutorial.ipynb at main · microsoft/AzureDataRetrievalAugmentedGenerationSamples
Samples to demonstrate pathways for Retrieval Augmented Generation (RAG) for Azure Data - microsoft/AzureDataRetrievalAugmentedGenerationSamples
·github.com·
AzureDataRetrievalAugmentedGenerationSamples/Python/CosmosDB-NoSQL_VectorSearch/CosmosDB-NoSQL-Vector_AzureOpenAI_Tutorial.ipynb at main · microsoft/AzureDataRetrievalAugmentedGenerationSamples
The architecture of today's LLM applications
The architecture of today's LLM applications
Here’s everything you need to know to build your first LLM app and problem spaces you can start exploring today.
·github.blog·
The architecture of today's LLM applications
Building an AI Agent With Memory Using MongoDB, Fireworks AI, and LangChain | MongoDB
Building an AI Agent With Memory Using MongoDB, Fireworks AI, and LangChain | MongoDB
Creating your own AI agent equipped with a sophisticated memory system. This guide provides a detailed walkthrough on leveraging the capabilities of Fireworks AI, MongoDB, and LangChain to construct an AI agent that not only responds intelligently but also remembers past interactions.
·mongodb.com·
Building an AI Agent With Memory Using MongoDB, Fireworks AI, and LangChain | MongoDB