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Mongo db doc fix (#6042)

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I missed a few errors in my initial fix @hwchase1.  Thanks!
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Ben Flast 2023-06-12 10:29:27 -04:00 committed by GitHub
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docs/modules/indexes/vectorstores/examples/mongodb_atlas_vector_search.ipynb
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@ -9,13 +9,13 @@
"#### Commented out until further notice\n",
"MongoDB Atlas Vector Search\n",
"\n",
">[MongoDB Atlas](https://www.mongodb.com/docs/atlas/) is a fully-managed cloud database offered in the cloud service provider of your choice (AWS , Azure, and GCP). It now has support for native Vector Search ontop of your MongoDB document data.\n",
">[MongoDB Atlas](https://www.mongodb.com/docs/atlas/) is a fully-managed cloud database available in AWS , Azure, and GCP. It now has support for native Vector Search on your MongoDB document data.\n",
"\n",
"This notebook shows how to use `MongoDB Atlas Vector Search` to store your embeddings in MongoDB documents, create a vector search index, and perform KNN search with and approximate nearest neighbor algorithm.\n",
"This notebook shows how to use `MongoDB Atlas Vector Search` to store your embeddings in MongoDB documents, create a vector search index, and perform KNN search with an approximate nearest neighbor algorithm.\n",
"\n",
"It uses the [knnBeta Operator](https://www.mongodb.com/docs/atlas/atlas-search/knn-beta) available in MongoDB Atlas Search. This feature is in Public Preview and available only for evaluation purposes, to validate functionality, and to gather feedback from public preview users. It is not recommended for production deployments as we may introduce breaking changes.\n",
"It uses the [knnBeta Operator](https://www.mongodb.com/docs/atlas/atlas-search/knn-beta) available in MongoDB Atlas Search. This feature is in Public Preview and available for evaluation purposes, to validate functionality, and to gather feedback from public preview users. It is not recommended for production deployments as we may introduce breaking changes.\n",
"\n",
"To use MongoDB Atlas, you must have first deployed a cluster. We have a Forever Free tier of clusters available. \n",
"To use MongoDB Atlas, you must first deploy a cluster. We have a Forever-Free tier of clusters available. \n",
"To get started head over to Atlas here: [quick start](https://www.mongodb.com/docs/atlas/getting-started/)."
]
},
@ -51,7 +51,7 @@
"id": "457ace44-1d95-4001-9dd5-78811ab208ad",
"metadata": {},
"source": [
"We want to use `OpenAIEmbeddings` so we have setup the OpenAI API Key. "
"We want to use `OpenAIEmbeddings` so we need to set up our OpenAI API Key. "
]
},
{
@ -71,8 +71,8 @@
"id": "1f3ecc42",
"metadata": {},
"source": [
"Now, let's create a vector index on your cluster. In the below example, `embedding` is the name of the field that contains the embedding vector. Please refer to the [documentation](https://www.mongodb.com/docs/atlas/atlas-search/define-field-mappings-for-vector-search) to get more details on how to define an Atlas Vector Search index.\n",
"You can name the index `langchain_demo` and create the index on the namespace `lanchain_db.langchain_col`. Finally, write the following definition in the JSON editor:\n",
"Now, let's create a vector search index on your cluster. In the below example, `embedding` is the name of the field that contains the embedding vector. Please refer to the [documentation](https://www.mongodb.com/docs/atlas/atlas-search/define-field-mappings-for-vector-search) to get more details on how to define an Atlas Vector Search index.\n",
"You can name the index `langchain_demo` and create the index on the namespace `lanchain_db.langchain_col`. Finally, write the following definition in the JSON editor on MongoDB Atlas:\n",
"\n",
"```json\n",
"{\n",
@ -167,7 +167,7 @@
"id": "851a2ec9-9390-49a4-8412-3e132c9f789d",
"metadata": {},
"source": [
"You can reuse the vector index you created before, make sure environment variable `OPENAI_API_KEY` is set up, then create another file."
"You can reuse the vector search index you created, make sure the `OPENAI_API_KEY` environment variable is set up, then execute another query."
]
},
{