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Represent, send, store and search multimodal data

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```python from docarray import Document d = Document(id='Meow') d.chunks.extend([1, 2, 3]) d.summary() ``` **Expected Behavior** Throws an error and keeps the Document intact. **Current Behavior** Throws an error but modifies...

🫶 raised-by-community

Example code is taken from here: https://docarray.jina.ai/fundamentals/documentarray/construct/#construct-from-multiple-documentarray ``` from docarray import DocumentArray da1 = DocumentArray.empty(3) da2 = DocumentArray.empty(4) da3 = DocumentArray.empty(5) print(da1 + da2 + da3) da1 += da2 print(da1)...

🫶 raised-by-community

# Context We want docarray to fully support multi modal features. ATM we have the dataclass feature that allow to do this easily. Nevertheless this multiodal feature is not first...

DocArray allows list-like behavior by adding offset2id structure to storage backends. This means the database stores, along with documents, meta information about document order. This information is only updated/synced when...

Goals: since last benchmarking results, docarray evolved it's find API. This PR adapts benchmarking script to changes in find - [x] adapt benchmark script to latest docarray - [x] add...

size/m

Currently, the evaluate function of docarray expects a ground truth in form of a "session dataset". This means that each query in the groundtruth needs a list of all potential...

Lucene supports ANN vector search since version 8.x. This can be a powerful and performant tool for users already familiar with lucena/solr. Ref: - https://solr.apache.org/guide/solr/latest/query-guide/dense-vector-search.html - https://lucene.apache.org/pylucene/

in [docarray's docs](https://docarray.jina.ai/fundamentals/documentarray/serialization/#from-to-dataframe), explain what are the needed columns in a dataframe and how they are converted to create a DocumentArray

# What is Aggregation or Faceting? Aggregations/Facets provides a statistics (unique terms, range, counts) along a column or tag data. Statistics such as min and max price range, available color/category/size...

Goals: - [x] Using Weaviate's native filtering for search - [x] Using Weaviate cross-references to make relations in Documents - [x] Using Weaviate native integration for meta filtering - [...