From the course: Level up LLM applications development with LangChain and OpenAI
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Create a secured database access (user)
From the course: Level up LLM applications development with LangChain and OpenAI
Create a secured database access (user)
- [Instructor] For security purposes, MongoDB Atlas requires clients to authenticate as MongoDB database users in order to be able to be authorized to access clusters. And if you go back to the project, you're going to see that now the password is missing. So, you could never access the cluster without proper credentials and authentication. So, let's go back and we're going to find here, under Security, Database Access. So, already have a database user, but if in your case this is empty, you can simply go to add new database user. So, what I'm going to do is to edit the existing one. You can, if you'd like, delete a user or edit it. So, I'm going to edit this one and then use the method, which will be with password. And in the case that you already had a password, it's never going to show for security reasons. So, the option that we have is to click on Edit Password and to autogenerate a secure password. So, this is recommended. It's going to generate a very complex password. So, I'm…
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Getting started with MongoDB: Create an account1m 35s
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Build and deploy a free cluster1m 41s
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Set up the MongoDB environment and connect to the cluster6m 23s
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Create a secured database access (user)3m 27s
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Load sample data and create the vector store4m 18s
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Create the Atlas Vector Search index4m 4s
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Run vector search queries5m 33s
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