From the course: Level up LLM applications development with LangChain and OpenAI

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Getting started with MongoDB: Create an account

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From the course: Level up LLM applications development with LangChain and OpenAI

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Getting started with MongoDB: Create an account

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- [Narrator] A Vector Search revolutionizes how you search for information. And with the Atlas MongoDB platform, we discover the future of search with the Vector technology. So, what is Vector Search exactly? Vector Search is a capacity that allows to find related objects present in a dataset with semantic similarity. And you can use Atlas Vector Search with popular chats and embedding models from AI providers such as OpenAI, Amazon Web Services, and also Google. And you can also easily use Atlas Vector Search with LongChain to build LLM driven applications and implement retrieval augmented generation. And you have, of course, many use cases for Vector Search. Atlas Vector Search supports the following types of Vector Search queries like semantic search, which is used to query your vector embeddings based on semantic similarity and also hybrid search that combine results from both semantic search and full text search queries. And so, to get started with MongoDB Atlas, I'm going to…

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