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JoanFM merged 2 commits into from
Jun 1, 2023
Merged

docs: add in memory to documentation as list of supported vector index #1607

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docs: add in memory to documentation as list of supported db
Jun 1, 2023
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docs: update docs/user_guide/storing/first_step.md
Jun 1, 2023
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4 changes: 3 additions & 1 deletion docs/user_guide/storing/first_step.md
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Expand Up @@ -35,9 +35,11 @@ or recommender systems.
DocArray's Document Index concept achieves this by providing a unified interface to a number of [vector databases](https://learn.microsoft.com/en-us/semantic-kernel/concepts-ai/vectordb).
In fact, you can think of Document Index as an **[ORM](https://sqlmodel.tiangolo.com/db-to-code/) for vector databases**.

Currently, DocArray supports the following vector databases:
Currently, DocArray supports the following vector indexes. Some of them wrap vector databases (Weaviate, Qdrant, ElasticSearch) and act as a client for them, while others
use a vector search library locally (HNSWLib, Exact NN search):

- [Weaviate](https://weaviate.io/) | [Docs](index_weaviate.md)
- [Qdrant](https://qdrant.tech/) | [Docs](index_qdrant.md)
- [Elasticsearch](https://www.elastic.co/elasticsearch/) v7 and v8 | [Docs](index_elastic.md)
- [Hnswlib](https://github.com/nmslib/hnswlib) | [Docs](index_hnswlib.md)
- InMemoryExactNNSearch | [Docs](index_in_memory.md)