Added gpt_action_mongodb_vector.md and modified registry.yaml for Mon… #1424
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…goDB vector support
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| ### Middleware Function | ||
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| To create a Google Run Function, follow the steps in the [GCP Functions Action](https://cookbook.openai.com/examples/chatgpt/gpt_actions_library/gpt_middleware_google_cloud_function) cookbook. |
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would rename to "GPT Actions library (Middleware) - Google Cloud Function" (or other providers – we don't require GCP, right?)
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| ## Application Information | ||
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| ### Application Key Links |
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I guess we're trying to remove those links or have them as hyperlink in the description to avoid verbosity. The Canvas LMS cookbook as been revamped to show this: https://cookbook.openai.com/examples/chatgpt/gpt_actions_library/gpt_action_canvas / https://github.com/openai/openai-cookbook/blob/main/examples/chatgpt/gpt_actions_library/gpt_action_canvas.md
| Your `.env` file should contain the following values | ||
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| ``` | ||
| OPENAI_API_KEY= |
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could we include example of format (e.g: sk-xxxx) – if useful ?
also can we point on how to actually pass those variables to the function (or at least indicating to set-up those variables in the middleware env) ?
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| ### Create vector index | ||
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| Ensure that your MongoDB collection has a vector index. Here is an example of how to create one |
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Do we have a script to run this on the MONGODB_URI or a command line to connect to it?
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| Below is an example of what connecting to this Middlware might look like. You'll need to insert your application's & function's information in this section. | ||
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| ```javascript |
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| ### In ChatGPT (refer to Step 2 in the Getting Started Example) | ||
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| In ChatGPT, click on "Authentication" and choose **"OAuth"**. Enter in the information below. |
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Wouldn't we want to leverage a MongoDB Oauth connection, if possible? https://www.mongodb.com/docs/atlas/security-oidc/
Does it enable all authenticated users to Google (regardless of their directory) to run the function?
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| ### Test the GPT | ||
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| You are now ready to test out the GPT. You can enter a simple prompt like "I want to watch movies that involve spies and world war" and expect to see the following: |
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I imagine we'd like to load a dataset for this to be able to give that answer?
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MongoDB Vector Database
Summary
Added in the ability to perform a semantic search in MongoDB Vector Search
Motivation
We were planning to include a cookbook for a vector database like Pinecone. I decided to use MongoDB because it has a larger market share
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