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devcenter | https://www.mongodb.com/developer/products/atlas/atlas-search-cene-1 | created | # The Atlas Search 'cene: Season 1
# The Atlas Search 'cene: Season 1
Welcome to the first season of a video series dedicated to Atlas Search! This series of videos is designed to guide you through the journey from getting started and understanding the concepts, to advanced techniques.
## What is Atlas Search?
[At... | md | {
"tags": [
"Atlas"
],
"pageDescription": "The Atlas Search 'cene: Season 1",
"contentType": "Video"
} | The Atlas Search 'cene: Season 1 | 2024-05-20T17:32:23.500Z | [
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devcenter | https://www.mongodb.com/developer/products/atlas/atlas-search-cene-1 | created | > Hip to the *'cene*
>
> The name of this video series comes from a contraction of "Lucene",
> the search engine library leveraged by Atlas. Or it's a short form of "scene".
## Episode Guide
### **[Episode 1: What is Atlas Search & Quick Start][2]**
In this first episode of the Atlas Search 'cene, learn what Atlas... | md | {
"tags": [
"Atlas"
],
"pageDescription": "The Atlas Search 'cene: Season 1",
"contentType": "Video"
} | The Atlas Search 'cene: Season 1 | 2024-05-20T17:32:23.500Z | [
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devcenter | https://www.mongodb.com/developer/products/atlas/atlas-search-cene-1 | created | ### **[Episode 3: Indexing][4]**
While Atlas Search automatically indexes your collections content, it does demand attention to the indexing configuration details in order to match users queries appropriately. This episode covers how Atlas Search builds an inverted index, and the options one must consider.
### **[Epi... | md | {
"tags": [
"Atlas"
],
"pageDescription": "The Atlas Search 'cene: Season 1",
"contentType": "Video"
} | The Atlas Search 'cene: Season 1 | 2024-05-20T17:32:23.500Z | [
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devcenter | https://www.mongodb.com/developer/products/atlas/atlas-search-cene-1 | created | In this episode, we go through some more advanced search topics including embedded documents, fuzzy search, autocomplete, highlighting, and geospatial.
### **[Episode 7: Query Analytics][8]**
Are your users finding what they are looking for? Are your top queries returning the best results? This episode covers the im... | md | {
"tags": [
"Atlas"
],
"pageDescription": "The Atlas Search 'cene: Season 1",
"contentType": "Video"
} | The Atlas Search 'cene: Season 1 | 2024-05-20T17:32:23.500Z | [
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devcenter | https://www.mongodb.com/developer/products/atlas/atlas-search-cene-1 | created | [1]: https://www.mongodb.com/atlas/search
[2]: https://www.mongodb.com/developer/videos/what-is-atlas-search-quick-start/
[3]: https://www.mongodb.com/developer/videos/atlas-search-configuration-development-environment/
[4]: https://www.mongodb.com/developer/videos/mastering-indexing-for-perfect-query-matches/
... | md | {
"tags": [
"Atlas"
],
"pageDescription": "The Atlas Search 'cene: Season 1",
"contentType": "Video"
} | The Atlas Search 'cene: Season 1 | 2024-05-20T17:32:23.500Z | [
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devcenter | https://www.mongodb.com/developer/products/atlas/atlas-search-cene-1 | created | [8]: https://www.mongodb.com/developer/videos/atlas-search-query-analytics/
[9]: https://www.mongodb.com/developer/videos/tips-and-tricks-the-atlas-search-cene-season-1-episode-8/ | md | {
"tags": [
"Atlas"
],
"pageDescription": "The Atlas Search 'cene: Season 1",
"contentType": "Video"
} | The Atlas Search 'cene: Season 1 | 2024-05-20T17:32:23.500Z | [
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devcenter | https://www.mongodb.com/developer/products/mongodb/atlas-open-ai-review-summary | created | # Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI
In the realm of property rentals, reviews play a pivotal role. MongoDB Atlas triggers, combined with the power of OpenAI's models, can help summarize and analyze these reviews in real-time. In this article, we'll explore how to utilize MongoDB Atla... | md | {
"tags": [
"MongoDB",
"JavaScript",
"AI",
"Node.js"
],
"pageDescription": "Uncover the synergy of MongoDB Atlas triggers and OpenAI models in real-time analysis and summarization of Airbnb reviews. ",
"contentType": "Tutorial"
} | Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI | 2024-05-20T17:32:23.500Z | [
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devcenter | https://www.mongodb.com/developer/products/mongodb/atlas-open-ai-review-summary | created | ```javascript
"reviews": { "_id": "2663437",
"date": { "$date": "2012-10-20T04:00:00.000Z" }, \
"listing_id": "664017",
"reviewer_id": "633940",
"reviewer_name": "Patricia",
"comments": "I booked the room at Marinete's apartment for my husband. He was staying in Rio for a week because he was studying Portuguese. H... | md | {
"tags": [
"MongoDB",
"JavaScript",
"AI",
"Node.js"
],
"pageDescription": "Uncover the synergy of MongoDB Atlas triggers and OpenAI models in real-time analysis and summarization of Airbnb reviews. ",
"contentType": "Tutorial"
} | Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI | 2024-05-20T17:32:23.500Z | [
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... |
devcenter | https://www.mongodb.com/developer/products/mongodb/atlas-open-ai-review-summary | created | "listing_id": "664017",
"reviewer_id": "3932440",
"reviewer_name": "Carolina",
"comments": "Es una muy buena anfitriona, preocupada de que te encuentres cómoda y te sugiere que actividades puedes realizar. Disfruté mucho la estancia durante esos días, el sector es central y seguro." }, ... ]
``` | md | {
"tags": [
"MongoDB",
"JavaScript",
"AI",
"Node.js"
],
"pageDescription": "Uncover the synergy of MongoDB Atlas triggers and OpenAI models in real-time analysis and summarization of Airbnb reviews. ",
"contentType": "Tutorial"
} | Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI | 2024-05-20T17:32:23.500Z | [
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devcenter | https://www.mongodb.com/developer/products/mongodb/atlas-open-ai-review-summary | created | ## Prerequisites
- App Services application (e.g., application-0). Ensure linkage to the cluster with the Airbnb data.
- OpenAI account with API access.
![Open AI Key
### Secrets and Values
1. Navigate to your App Services application.
2. Under "Values," create a secret named `openAIKey` with your OPEN AI API key.
... | md | {
"tags": [
"MongoDB",
"JavaScript",
"AI",
"Node.js"
],
"pageDescription": "Uncover the synergy of MongoDB Atlas triggers and OpenAI models in real-time analysis and summarization of Airbnb reviews. ",
"contentType": "Tutorial"
} | Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI | 2024-05-20T17:32:23.500Z | [
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0.0867... |
devcenter | https://www.mongodb.com/developer/products/mongodb/atlas-open-ai-review-summary | created | Example of a review update operation that will fire this trigger:
```javascript
listingsAndReviews.updateOne({"_id" : "1129303"}, { $push : { "reviews" : new_review } , $set : { "process" : false" }});
```
### Sample reviews function
To prevent overloading the API with a large number of reviews, a function sampleRevie... | md | {
"tags": [
"MongoDB",
"JavaScript",
"AI",
"Node.js"
],
"pageDescription": "Uncover the synergy of MongoDB Atlas triggers and OpenAI models in real-time analysis and summarization of Airbnb reviews. ",
"contentType": "Tutorial"
} | Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI | 2024-05-20T17:32:23.500Z | [
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0.... |
devcenter | https://www.mongodb.com/developer/products/mongodb/atlas-open-ai-review-summary | created | return sampledReviews;
}
```
### Main trigger logic
The main trigger logic is invoked when an update change event is detected with a `"process" : false` field.
```javascript
exports = async function(changeEvent) {
// A Database Trigger will always call a function with a changeEvent.
// Documentation on ChangeEven... | md | {
"tags": [
"MongoDB",
"JavaScript",
"AI",
"Node.js"
],
"pageDescription": "Uncover the synergy of MongoDB Atlas triggers and OpenAI models in real-time analysis and summarization of Airbnb reviews. ",
"contentType": "Tutorial"
} | Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI | 2024-05-20T17:32:23.500Z | [
-0.07496263831853867,
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0... |
devcenter | https://www.mongodb.com/developer/products/mongodb/atlas-open-ai-review-summary | created | return sampledReviews;
}
// Access the _id of the changed document:
const docId = changeEvent.documentKey._id;
const doc= changeEvent.fullDocument;
// Get the MongoDB service you want to use (see "Linked Data Sources" tab)
const serviceName = "mongodb-atlas";
const databaseName = "sample_airbnb";
con... | md | {
"tags": [
"MongoDB",
"JavaScript",
"AI",
"Node.js"
],
"pageDescription": "Uncover the synergy of MongoDB Atlas triggers and OpenAI models in real-time analysis and summarization of Airbnb reviews. ",
"contentType": "Tutorial"
} | Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI | 2024-05-20T17:32:23.500Z | [
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0.0... |
devcenter | https://www.mongodb.com/developer/products/mongodb/atlas-open-ai-review-summary | created | // Fetch the OpenAI key stored in the context values.
const openai_key = context.values.get("openAIKey");
const reviews = doc.reviews.map((review) => {return {"comments" : review.comments}});
const sampledReviews= sampleReviews(reviews);
// Prepare the request string for the OpenAI API.
const... | md | {
"tags": [
"MongoDB",
"JavaScript",
"AI",
"Node.js"
],
"pageDescription": "Uncover the synergy of MongoDB Atlas triggers and OpenAI models in real-time analysis and summarization of Airbnb reviews. ",
"contentType": "Tutorial"
} | Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI | 2024-05-20T17:32:23.500Z | [
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0.... |
devcenter | https://www.mongodb.com/developer/products/mongodb/atlas-open-ai-review-summary | created | // Call OpenAI API to get the response.
let resp = await context.http.post({
url: url,
headers: {
'Authorization': [`Bearer ${openai_key}`],
'Content-Type': ['application/json']
},
body: JSON.stringify({
model: "gpt-4",
temperature... | md | {
"tags": [
"MongoDB",
"JavaScript",
"AI",
"Node.js"
],
"pageDescription": "Uncover the synergy of MongoDB Atlas triggers and OpenAI models in real-time analysis and summarization of Airbnb reviews. ",
"contentType": "Tutorial"
} | Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI | 2024-05-20T17:32:23.500Z | [
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0.0834... |
devcenter | https://www.mongodb.com/developer/products/mongodb/atlas-open-ai-review-summary | created | const code = responseData.choices[0].message.content;
// Get the required data to be added into the document
const updateDoc = JSON.parse(code)
// Set a flag that this document does not need further re-processing
updateDoc.process = true
await collection.updateOne({_id : docId},... | md | {
"tags": [
"MongoDB",
"JavaScript",
"AI",
"Node.js"
],
"pageDescription": "Uncover the synergy of MongoDB Atlas triggers and OpenAI models in real-time analysis and summarization of Airbnb reviews. ",
"contentType": "Tutorial"
} | Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI | 2024-05-20T17:32:23.500Z | [
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0.022... |
devcenter | https://www.mongodb.com/developer/products/mongodb/atlas-open-ai-review-summary | created | Key steps include:
- API request preparation: Reviews from the changed document are sampled and prepared into a request string for the OpenAI API. The format and instructions are tailored to ensure the API returns a valid JSON with summarized content and tags.
- API interaction: Using the context.http.post method, the... | md | {
"tags": [
"MongoDB",
"JavaScript",
"AI",
"Node.js"
],
"pageDescription": "Uncover the synergy of MongoDB Atlas triggers and OpenAI models in real-time analysis and summarization of Airbnb reviews. ",
"contentType": "Tutorial"
} | Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI | 2024-05-20T17:32:23.500Z | [
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0.... |
devcenter | https://www.mongodb.com/developer/products/mongodb/atlas-open-ai-review-summary | created | Here is a sample result that is added to the processed listing document:
```
"process": true,
"overall_review": "Overall, guests had a positive experience at Marinete's apartment. They praised the location, cleanliness, and hospitality. However, some guests mentioned issues with the dog and language barrier.",
"neg_ta... | md | {
"tags": [
"MongoDB",
"JavaScript",
"AI",
"Node.js"
],
"pageDescription": "Uncover the synergy of MongoDB Atlas triggers and OpenAI models in real-time analysis and summarization of Airbnb reviews. ",
"contentType": "Tutorial"
} | Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI | 2024-05-20T17:32:23.500Z | [
-0.018523477017879486,
0.013775629922747612,
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0.0... |
devcenter | https://www.mongodb.com/developer/products/mongodb/atlas-open-ai-review-summary | created | Overall Review (ai based) : {{ listing.overall_review }}
{{tag}}
{{tag}}
```
## Conclusion
By integrating MongoDB Atlas triggers with OpenAI's powerful models, we can efficiently process and analyze large volumes of reviews in real-time. This setup not only provides con... | md | {
"tags": [
"MongoDB",
"JavaScript",
"AI",
"Node.js"
],
"pageDescription": "Uncover the synergy of MongoDB Atlas triggers and OpenAI models in real-time analysis and summarization of Airbnb reviews. ",
"contentType": "Tutorial"
} | Using MongoDB Atlas Triggers to Summarize Airbnb Reviews with OpenAI | 2024-05-20T17:32:23.500Z | [
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devcenter | https://www.mongodb.com/developer/products/mongodb/getting-started-with-mongodb-and-codewhisperer | created | # Getting Started with MongoDB and AWS Codewhisperer
**Introduction**
----------------
Amazon CodeWhisperer is trained on billions of lines of code and can generate code suggestions — ranging from snippets to full functions — in real-time, based on your comments and existing code. AI code assistants have revolutioniz... | md | {
"tags": [
"MongoDB",
"JavaScript",
"Java",
"Python",
"AWS",
"AI"
],
"pageDescription": "",
"contentType": "Tutorial"
} | Getting Started with MongoDB and AWS Codewhisperer | 2024-05-20T17:32:23.500Z | [
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0... |
devcenter | https://www.mongodb.com/developer/products/mongodb/getting-started-with-mongodb-and-codewhisperer | created | This tutorial will help you get CodeWhisperer up and running in VS Code, but CodeWhisperer also works with a number of other IDEs, including IntelliJ IDEA, AWS Cloud9, AWS Lambda console, JupyterLab, and Amazon SageMaker Studio. On the [Amazon CodeWhisperer site][1], you can find tutorials that demonstrate how to set u... | md | {
"tags": [
"MongoDB",
"JavaScript",
"Java",
"Python",
"AWS",
"AI"
],
"pageDescription": "",
"contentType": "Tutorial"
} | Getting Started with MongoDB and AWS Codewhisperer | 2024-05-20T17:32:23.500Z | [
-0.05912330374121666,
-0.04956725239753723,
-0.010123714804649353,
-0.0076818810775876045,
0.027913479134440422,
0.0193786658346653,
-0.010468638502061367,
0.02033318765461445,
-0.01157626323401928,
-0.004519777838140726,
0.02005293220281601,
-0.03447508439421654,
0.04998226463794708,
0.02... |
End of preview. Expand in Data Studio
Overview
This dataset consists of chunked and embedded versions of a subset of articles from the MongoDB Developer Center.
Dataset Structure
The dataset consists of the following fields:
- sourceName: The source of the article. This value is
devcenterfor the entire dataset. - url: Link to the article
- action: Action taken on the article. This value is
createdfor the entire dataset. - body: Content of the chunk in Markdown format
- format: Format of the content. This value is
mdfor all articles. - metadata: Metadata such as tags, content type etc. associated with the articles
- title: Title of the article
- updated: The last updated date of the article
- embedding: The embedding of the chunk's content, created using the thenlpr/gte-small open-source model from Hugging Face.
Usage
This dataset can be useful for prototyping RAG applications. This is a real sample of data we have used to build the AI chatbot on our official documentation website.
Ingest Data
To experiment with this dataset using MongoDB Atlas, first create a MongoDB Atlas account.
You can then use the following script to load this dataset into your MongoDB Atlas cluster:
import os
from pymongo import MongoClient
import datasets
from datasets import load_dataset
from bson import json_util
uri = os.environ.get('MONGODB_ATLAS_URI')
client = MongoClient(uri)
db_name = 'your_database_name' # Change this to your actual database name
collection_name = 'devcenter_articles-embedded'
collection = client[db_name][collection_name]
dataset = load_dataset("MongoDB/devcenter-articles-embedded")
insert_data = []
for item in dataset['train']:
doc = json_util.loads(json_util.dumps(item))
insert_data.append(doc)
if len(insert_data) == 1000:
collection.insert_many(insert_data)
print("1000 records ingested")
insert_data = []
if len(insert_data) > 0:
collection.insert_many(insert_data)
insert_data = []
print("Data ingested successfully!")
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