Vector databases (Pinecone, ChromaDB, Weaviate) in Prompt Engineering / GenAI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to initialize a Pinecone client with your API key.

Prompt Engineering / GenAI

import pinecone
pinecone.init(api_key=[1])

Drag options to blanks, or click blank then click option'

A12345

B'your-pinecone-api-key'

Cpinecone_key

Dapi_key

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting to put the API key inside quotes.

Using a variable name instead of the actual key string.

You must provide your Pinecone API key as a string to initialize the client.

2fill in blank

medium

Complete the code to create a new index in Pinecone with dimension 128.

Prompt Engineering / GenAI

pinecone.create_index(name='example-index', dimension=[1])

Drag options to blanks, or click blank then click option'

A512

B64

C128

D256

Attempts:

3 left

💡 Hint

Common Mistakes

Using a dimension that does not match the vector size.

Using a string instead of a number.

The dimension must match the size of your vector embeddings, here 128.

3fill in blank

hard

Fix the error in the code to query a Pinecone index for the top 3 similar vectors.

Prompt Engineering / GenAI

index = pinecone.Index('example-index')
query_result = index.query(queries=[query_vector], top_k=[1])

Drag options to blanks, or click blank then click option'

A3

B'3'

Ctop3

D[3]

Attempts:

3 left

💡 Hint

Common Mistakes

Passing '3' as a string instead of integer 3.

Passing a list like [3] instead of an integer.

The top_k parameter must be an integer, not a string or list.

4fill in blank

hard

Fill both blanks to create a ChromaDB client and add a collection named 'my_collection'.

Prompt Engineering / GenAI

import chromadb
client = chromadb.[1]()
collection = client.[2]('my_collection')

Drag options to blanks, or click blank then click option'

AClient

Bcreate_collection

CCollection

Dget_collection

Attempts:

3 left

💡 Hint

Common Mistakes

Using get_collection() instead of create_collection() to add a new collection.

Using Collection() instead of Client() to create the client.

You create a ChromaDB client with Client(), then add a collection with create_collection().

5fill in blank

hard

Fill all three blanks to initialize a Weaviate client, create a schema, and add a data object.

Prompt Engineering / GenAI

import weaviate
client = weaviate.Client([1])
schema = {
  'classes': [{'class': [2], 'properties': [{'name': 'text', 'dataType': ['string']}]}]
}
client.schema.[3](schema)

Drag options to blanks, or click blank then click option'

A'http://localhost:8080'

B'Document'

Ccreate

Ddelete

Attempts:

3 left

💡 Hint

Common Mistakes

Using delete() instead of create() to add the schema.

Using wrong URL or missing quotes.

Using wrong class name or missing quotes.

You connect to Weaviate at the URL, define a class named 'Document', and create the schema with create().