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Weaviate Similarity Search Databricks

Similarity Search Databricks

vector-searchvector-databaseretrieval-augmented-generationllm-frameworksweaviate-featuresfunction-callingweaviate-recipesmodel-providersPythongenerative-aidatabricks
alph-notebooks/weaviate-recipes / similarity_search_databricks.ipynb

Open In Colab

Similarity Search with Databricks

This recipe will show you how to run semantic search with embeddings from Databricks.

Requirements

  1. Weaviate cluster

    1. You can create a 14-day free sandbox on WCD
    2. Embedded Weaviate
    3. Local deployment
    4. Other options

  2. Databricks token

  3. Endpoint to an embedding model on Databricks

Import Dependencies, Libraries, and Keys

[ ]
[1]

Connect to Weaviate

Only choose one option from the below.

Weaviate Cloud Deployment

[2]
True

Embedded Weaviate

[ ]

Local Deployment

[ ]

Create a collection

Collection stores your data and vector embeddings.

[6]
Successfully created collection: JeopardyQuestion.

{"build_git_commit":"b7b77150ac","build_go_version":"go1.24.2","build_image_tag":"HEAD","build_wv_version":"1.30.0","level":"warning","msg":"prop len tracker file /Users/erikacardenas/.local/share/weaviate/jeopardyquestion/ltfNgZSUE4cS/proplengths does not exist, creating new tracker","time":"2025-05-02T15:20:08-04:00"}
{"action":"hnsw_prefill_cache_async","build_git_commit":"b7b77150ac","build_go_version":"go1.24.2","build_image_tag":"HEAD","build_wv_version":"1.30.0","level":"info","msg":"not waiting for vector cache prefill, running in background","time":"2025-05-02T15:20:08-04:00","wait_for_cache_prefill":false}
{"build_git_commit":"b7b77150ac","build_go_version":"go1.24.2","build_image_tag":"HEAD","build_wv_version":"1.30.0","level":"info","msg":"Created shard jeopardyquestion_ltfNgZSUE4cS in 4.476375ms","time":"2025-05-02T15:20:08-04:00"}
{"action":"hnsw_vector_cache_prefill","build_git_commit":"b7b77150ac","build_go_version":"go1.24.2","build_image_tag":"HEAD","build_wv_version":"1.30.0","count":1000,"index_id":"main","level":"info","limit":1000000000000,"msg":"prefilled vector cache","time":"2025-05-02T15:20:08-04:00","took":647583}

Import the Data

[7]
Insert complete.

Query Weaviate: Similarity Search (Text objects)

Similarity search options for text objects in Weaviate:

  1. near_text

  2. near_object

  3. near_vector

nearText Example

Find a JeopardyQuestion about "animals in movies". Limit it to only 4 responses.

[8]
ID: 77733229-d9b6-4424-8265-58f4e3d61feb
Data: {
  "answer": "Antelope",
  "question": "Weighing around a ton, the eland is the largest species of this animal in Africa",
  "category": "ANIMALS"
} 

ID: 5bdaf211-cce3-40ae-96ba-04cfb6362c8a
Data: {
  "answer": "Elephant",
  "question": "It's the only living mammal in the order Proboseidea",
  "category": "ANIMALS"
} 

ID: 074d10c6-9ffe-4018-9314-735bdebac37c
Data: {
  "answer": "the nose or snout",
  "question": "The gavial looks very much like a crocodile except for this bodily feature",
  "category": "ANIMALS"
} 

ID: 1aca8085-3eb8-4b7e-8e05-07987fa5fe3a
Data: {
  "answer": "species",
  "question": "2000 news: the Gunnison sage grouse isn't just another northern sage grouse, but a new one of this classification",
  "category": "SCIENCE"
}

Return vector embeddings

[9]
ID: 77733229-d9b6-4424-8265-58f4e3d61feb
Data: {
  "answer": "Antelope",
  "question": "Weighing around a ton, the eland is the largest species of this animal in Africa",
  "category": "ANIMALS"
}
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ID: 5bdaf211-cce3-40ae-96ba-04cfb6362c8a
Data: {
  "answer": "Elephant",
  "question": "It's the only living mammal in the order Proboseidea",
  "category": "ANIMALS"
}
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ID: 074d10c6-9ffe-4018-9314-735bdebac37c
Data: {
  "answer": "the nose or snout",
  "question": "The gavial looks very much like a crocodile except for this bodily feature",
  "category": "ANIMALS"
}
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ID: 1aca8085-3eb8-4b7e-8e05-07987fa5fe3a
Data: {
  "answer": "species",
  "question": "2000 news: the Gunnison sage grouse isn't just another northern sage grouse, but a new one of this classification",
  "category": "SCIENCE"
}
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0.64111328125]}

Now, also request the distance for each returned item.

[10]
ID: 77733229-d9b6-4424-8265-58f4e3d61feb
Distance: 0.25670284032821655
Data: {'answer': 'Antelope', 'question': 'Weighing around a ton, the eland is the largest species of this animal in Africa', 'category': 'ANIMALS'} 

ID: 5bdaf211-cce3-40ae-96ba-04cfb6362c8a
Distance: 0.41141563653945923
Data: {'answer': 'Elephant', 'question': "It's the only living mammal in the order Proboseidea", 'category': 'ANIMALS'} 

ID: 074d10c6-9ffe-4018-9314-735bdebac37c
Distance: 0.4607570171356201
Data: {'answer': 'the nose or snout', 'question': 'The gavial looks very much like a crocodile except for this bodily feature', 'category': 'ANIMALS'} 

ID: 1aca8085-3eb8-4b7e-8e05-07987fa5fe3a
Distance: 0.5187289118766785
Data: {'answer': 'species', 'question': "2000 news: the Gunnison sage grouse isn't just another northern sage grouse, but a new one of this classification", 'category': 'SCIENCE'}

nearObject Example

Search through the JeopardyQuestion class to find the top 4 objects closest to id a1dd67f9-bfa7-45e1-b45e-26eb8c52e9a6. (The id was taken from the query above)

[12]
ID: 77733229-d9b6-4424-8265-58f4e3d61feb
Data: {'answer': 'Antelope', 'question': 'Weighing around a ton, the eland is the largest species of this animal in Africa', 'category': 'ANIMALS'} 

ID: 5bdaf211-cce3-40ae-96ba-04cfb6362c8a
Data: {'answer': 'Elephant', 'question': "It's the only living mammal in the order Proboseidea", 'category': 'ANIMALS'} 

ID: 0b2c85c9-e554-4720-a390-f0cf98f552cf
Data: {'answer': 'the diamondback rattler', 'question': 'Heaviest of all poisonous snakes is this North American rattlesnake', 'category': 'ANIMALS'} 

ID: 074d10c6-9ffe-4018-9314-735bdebac37c
Data: {'answer': 'the nose or snout', 'question': 'The gavial looks very much like a crocodile except for this bodily feature', 'category': 'ANIMALS'}

nearVector Example

Search through the JeopardyQuestion class to find the top 2 objects closest to the query vector [-0.0125526935, -0.021168863, ... ]

[ ]