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franciscojavierarceo merged 2 commits into from
Feb 3, 2025
Merged

feat: Updating documents to highlight v2 api for Vector Similarity Se… #5000

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feat: Updating documents to highlight v2 api for Vector Similarity Se…
franciscojavierarceo Feb 3, 2025
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updated to add another column about v2 support
franciscojavierarceo Feb 3, 2025
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updated to add another column about v2 support 
Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
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franciscojavierarceo committed Feb 3, 2025
commit a35f59a09ceec1df4d6768b04730b89bc98f6604
18 changes: 10 additions & 8 deletions docs/reference/alpha-vector-database.md
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Expand Up @@ -7,14 +7,16 @@ Vector database allows user to store and retrieve embeddings. Feast provides gen
## Integration
Below are supported vector databases and implemented features:

| Vector Database | Retrieval | Indexing |
|-----------------|-----------|----------|
| Pgvector | [x] | [ ] |
| Elasticsearch | [x] | [x] |
| Milvus | [x] | [x] |
| Faiss | [ ] | [ ] |
| SQLite | [x] | [ ] |
| Qdrant | [x] | [x] |
| Vector Database | Retrieval | Indexing | V2 Support* |
|-----------------|-----------|----------|-------------|
| Pgvector | [x] | [ ] | [] |
| Elasticsearch | [x] | [x] | [] |
| Milvus | [x] | [x] | [x] |
| Faiss | [ ] | [ ] | [] |
| SQLite | [x] | [ ] | [] |
| Qdrant | [x] | [x] | [] |

*Note: V2 Support means the SDK supports retrieval of features along with vector embeddings from vector similarity search.

Note: SQLite is in limited access and only working on Python 3.10. It will be updated as [sqlite_vec](https://github.com/asg017/sqlite-vec/) progresses.

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