MongoDB CLI Commands

# Log in to the MongoDB shell locally
mongosh

# Default port on localhost rag_database:
mongosh mongodb://localhost:27017/rag_database

# View All Documents
db.documents.find().pretty()

# View a Document by ID
db.documents.find({ _id: ObjectId("671f110807e141d70ebe59d8") }).pretty()

# Filter Documents by a Field
db.documents.find({ url: "https://kevinluzbetak.com/1-ai/Gunning-Fog-Index.html" }).pretty()

# Limit the Number of Documents
db.documents.find().limit(5).pretty()

# Skip Documents and Limit
db.documents.find().skip(5).limit(5).pretty()

# Sort Documents
db.documents.find().sort({ title: 1 }).pretty()

# Project Specific Fields
db.documents.find({}, { url: 1, title: 1, content: 1, _id: 0 }).pretty()

# Exclude a Specific Field
db.documents.find({}, { embedding: 0 }).pretty()

# Find Random Document
db.documents.aggregate([{ $sample: { size: 1 } }]).pretty()

# Count the Number of Documents
db.documents.countDocuments()

# Find Documents Matching a Range
db.documents.find({ "score": { $gte: 50, $lte: 100 } }).pretty()

# Find Documents Using Regular Expressions
db.documents.find({ "title": { $regex: "Index", $options: "i" } }).pretty()

# Use $in Operator to Match Multiple Values
db.documents.find({ "title": { $in: ["Gunning-Fog-Index.html", "TF-IDF.html"] } }).pretty()

# Find Documents Based on Field Existence
db.documents.find({ "author": { $exists: true } }).pretty()

# Retrieve and Sort Documents with Pagination
db.documents.find().sort({ _id: 1 }).skip(10).limit(10).pretty()

MongoDB as a Document-Based Database

MongoDB is not a traditional key-value store, but it can function similarly in some contexts. MongoDB is a document-based NoSQL database, where each document (typically represented in BSON format, a binary form of JSON) can have multiple key-value pairs. The keys in a MongoDB document are the field names, and the values are the corresponding data.

In this context, the key-value pairs are:

Key: url, Value: 'https://luzbetak.github.io/ai/Gunning-Fog-Index.html'
Key: title, Value: 'Gunning-Fog-Index.html'
Key: content, Value: 'gunning fog index account ...'
Key: embedding, Value: [-0.01926298439502716, 0.03058304823935032, ...]

Each document in MongoDB also has an implicit key-value pair for the _id field:

Key: _id, Value: ObjectId('671f110807e141d70ebe59d8')

Key in MongoDB:

The _id field is the primary key in each MongoDB document. It uniquely identifies the document within a collection, much like how a key works in a key-value database.

Example:

In the document you retrieved, the "keys" are the field names (_id, url, title, content, and embedding), and their "values" are the corresponding data (e.g., the URL, title, content text, and embedding vector).