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2 changes: 1 addition & 1 deletion dotnet/src/VectorData/MongoDB/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,6 @@ This connector uses [MongoDB Atlas Vector Search](https://www.mongodb.com/produc

2. Create a Mongo DB Vector Store using instructions on the [Microsoft Learn site](https://learn.microsoft.com/semantic-kernel/concepts/vector-store-connectors/out-of-the-box-connectors/mongodb-connector).

3. Use the [getting started instructions](https://learn.microsoft.com/semantic-kernel/concepts/vector-store-connectors/?pivots=programming-language-csharp#getting-started-with-vector-store-connectors) on the Microsoft Leearn site to learn more about using the vector store.
3. Use the [getting started instructions](https://learn.microsoft.com/semantic-kernel/concepts/vector-store-connectors/?pivots=programming-language-csharp#getting-started-with-vector-store-connectors) on the Microsoft Learn site to learn more about using the vector store.

> Guide to find the connection string: https://www.mongodb.com/docs/manual/reference/connection-string/
2 changes: 1 addition & 1 deletion dotnet/src/VectorData/PgVector/README.md
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Expand Up @@ -39,4 +39,4 @@ See [this sample](../../../samples/Concepts/Memory/VectorStore_VectorSearch_Mult

For more information on using Postgres as a vector store, see the [PostgresVectorStore](https://learn.microsoft.com/semantic-kernel/concepts/vector-store-connectors/out-of-the-box-connectors/postgres-connector) documentation.

Use the [getting started instructions](https://learn.microsoft.com/semantic-kernel/concepts/vector-store-connectors/?pivots=programming-language-csharp#getting-started-with-vector-store-connectors) on the Microsoft Leearn site to learn more about using the vector store.
Use the [getting started instructions](https://learn.microsoft.com/semantic-kernel/concepts/vector-store-connectors/?pivots=programming-language-csharp#getting-started-with-vector-store-connectors) on the Microsoft Learn site to learn more about using the vector store.
4 changes: 2 additions & 2 deletions dotnet/src/VectorData/Redis/README.md
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Expand Up @@ -8,7 +8,7 @@ This connector uses Redis to implement Semantic Memory. It requires the [RediSea

Ways to get RediSearch:

1. You can create an [Azure Cache for Redis Enterpise instance](https://learn.microsoft.com/azure/azure-cache-for-redis/quickstart-create-redis-enterprise) and [enable RediSearch module](https://learn.microsoft.com/azure/azure-cache-for-redis/cache-redis-modules).
1. You can create an [Azure Cache for Redis Enterprise instance](https://learn.microsoft.com/azure/azure-cache-for-redis/quickstart-create-redis-enterprise) and [enable RediSearch module](https://learn.microsoft.com/azure/azure-cache-for-redis/cache-redis-modules).

1. Set up the RediSearch on your self-managed Redis, please refer to its [documentation](https://redis.io/docs/latest/develop/interact/search-and-query/advanced-concepts/vectors/).

Expand All @@ -24,4 +24,4 @@ docker run -d --name redis-stack-server -p 6379:6379 redis/redis-stack-server:la

2. Create a Redis Vector Store using instructions on the [Microsoft Learn site](https://learn.microsoft.com/semantic-kernel/concepts/vector-store-connectors/out-of-the-box-connectors/redis-connector).

3. Use the [getting started instructions](https://learn.microsoft.com/semantic-kernel/concepts/vector-store-connectors/?pivots=programming-language-csharp#getting-started-with-vector-store-connectors) on the Microsoft Leearn site to learn more about using the vector store.
3. Use the [getting started instructions](https://learn.microsoft.com/semantic-kernel/concepts/vector-store-connectors/?pivots=programming-language-csharp#getting-started-with-vector-store-connectors) on the Microsoft Learn site to learn more about using the vector store.
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