feat(vector-store): Add Valkey vector store support (#3272)

This commit is contained in:
Swarnaprakash Udayakumar
2025-09-10 04:01:53 +05:30
committed by GitHub
parent e64488b598
commit e3f0277cb9
11 changed files with 1758 additions and 3 deletions
+2 -1
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@@ -11,7 +11,7 @@ Mem0 includes built-in support for various popular databases. Memory can utilize
See the list of supported vector databases below.
<Note>
The following vector databases are supported in the Python implementation. The TypeScript implementation currently only supports Qdrant, Redis,Vectorize and in-memory vector database.
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.
</Note>
<CardGroup cols={3}>
@@ -24,6 +24,7 @@ See the list of supported vector databases below.
<Card title="MongoDB" href="/components/vectordbs/dbs/mongodb"></Card>
<Card title="Azure" href="/components/vectordbs/dbs/azure"></Card>
<Card title="Redis" href="/components/vectordbs/dbs/redis"></Card>
<Card title="Valkey" href="/components/vectordbs/dbs/valkey"></Card>
<Card title="Elasticsearch" href="/components/vectordbs/dbs/elasticsearch"></Card>
<Card title="OpenSearch" href="/components/vectordbs/dbs/opensearch"></Card>
<Card title="Supabase" href="/components/vectordbs/dbs/supabase"></Card>