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updated docs
Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
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‎docs/reference/alpha-vector-database.md‎

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@@ -7,14 +7,14 @@ Vector database allows user to store and retrieve embeddings. Feast provides gen
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## Integration
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Below are supported vector databases and implemented features:
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| Vector Database | Retrieval | Indexing | V2 Support* |
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|-----------------|-----------|----------|-------------|
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| Pgvector | [x] | [ ] | [] |
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| Elasticsearch | [x] | [x] | [] |
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| Milvus | [x] | [x] | [x] |
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| Faiss | [ ] | [ ] | [] |
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| SQLite | [x] | [ ] | [] |
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| Qdrant | [x] | [x] | [] |
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| Vector Database | Retrieval | Indexing | V2 Support* | Online Read |
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|-----------------|-----------|----------|-------------|-------------|
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| Pgvector | [x] | [ ] | [] | [] |
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| Elasticsearch | [x] | [x] | [] | [] |
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| Milvus | [x] | [x] | [x] | [x] |
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| Faiss | [ ] | [ ] | [] | [] |
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| SQLite | [x] | [ ] | [x] | [x] |
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| Qdrant | [x] | [x] | [] | [] |
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*Note: V2 Support means the SDK supports retrieval of features along with vector embeddings from vector similarity search.
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backwards compatibility and the adopt industry standard naming conventions.
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{% endhint %}
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**Note**: Milvus implements the v2 `retrieve_online_documents_v2` method in the SDK. This will be the longer-term solution so that Data Scientists can easily enable vector similarity search by just flipping a flag.
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**Note**: Milvus and SQLite implement the v2 `retrieve_online_documents_v2` method in the SDK. This will be the longer-term solution so that Data Scientists can easily enable vector similarity search by just flipping a flag.
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## Examples
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