feat(vector-store): Add Valkey vector store support (#3272)
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@@ -11,7 +11,7 @@ Mem0 includes built-in support for various popular databases. Memory can utilize
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See the list of supported vector databases below.
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<Note>
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The following vector databases are supported in the Python implementation. The TypeScript implementation currently only supports Qdrant, Redis,Vectorize and in-memory vector database.
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The following vector databases are supported in the Python implementation. The TypeScript implementation currently only supports Qdrant, Redis, Valkey, Vectorize and in-memory vector database.
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</Note>
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<CardGroup cols={3}>
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@@ -24,6 +24,7 @@ See the list of supported vector databases below.
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<Card title="MongoDB" href="/components/vectordbs/dbs/mongodb"></Card>
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<Card title="Azure" href="/components/vectordbs/dbs/azure"></Card>
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<Card title="Redis" href="/components/vectordbs/dbs/redis"></Card>
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<Card title="Valkey" href="/components/vectordbs/dbs/valkey"></Card>
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<Card title="Elasticsearch" href="/components/vectordbs/dbs/elasticsearch"></Card>
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<Card title="OpenSearch" href="/components/vectordbs/dbs/opensearch"></Card>
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<Card title="Supabase" href="/components/vectordbs/dbs/supabase"></Card>
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