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---------
Co-authored-by: GitHub <[email protected]>
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EmbeddingVector and the vectoroperations package are down in
semantickernel-core, which makes it impossible to use the cosine
similarity function needed to calculate the similarity between
embeddings.
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EmbeddingVector was integrated into Embedding and the vectoroperations
package was refactored into a VectorOperations class which is in the
same package as Embedding. Now, one can do:
`embedding.cosineSimilarity(otherEmbedding)` instead of having to new up
an EmbeddingVector from embedding.getVector().
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### Motivation and Context
Keep our security and stability baseline for dependencies as high as
possible.
### Description
Maven POM changes mainly, removing a bunch of warnings and updating
dependencies
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Adding Example15_MemorySkill
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Added
java/samples/sample-code/src/main/java/com/microsoft/semantickernel/syntaxexamples/Example15_MemorySkill.java
Made changes necessary to get the example to work.
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- Fixes the template of `conf.properties` to not have quotes;
- Moves samples to a sub package to avoid conflict when running `jbang`
- Adds `jbang` support to execute the samples from command line
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---------
Co-authored-by: GitHub <[email protected]>
Co-authored-by: joebraley <[email protected]>
### Motivation and Context
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Co-authored-by: GitHub <[email protected]>
- Fix the planner overwriting the result even when it is being bound to
a variable.
- Fix incorrect handling of default values for planner functions
- Add example for blog post
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### Motivation and Context
Prepares the codebase for the next development cycle.
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---------
Co-authored-by: GitHub <[email protected]>
Co-authored-by: John Oliver <[email protected]>
### Motivation and Context
Release commit for CD to build.
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Co-authored-by: GitHub <[email protected]>
### Motivation and Context
Update pom.xml for Java JDK release.
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Co-authored-by: joebraley <[email protected]>
### Motivation and Context
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verified with `dotnet format`
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---------
Co-authored-by: GitHub <[email protected]>
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Co-authored-by: GitHub <[email protected]>
Rename modules to be consistently named with semantickernel prefix
- Create release commits for 0.2.3-alpha
---------
Co-authored-by: John Oliver <[email protected]>
Co-authored-by: GitHub <[email protected]>
- Add documentation for running samples via maven exec.
- Add support for defining OpenAI client type without recompiling
- Fix detecting the sample skills directory when invoking from maven
exec
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Port Example14_SemanticMemory.cs to Java
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Port of Example14_SemanticMemory.cs to Java.
This sample uses an Azure Cognitive Search connector, which was also
ported from dotnet/src/Connectors/Connectors.Memory.AzureCognitiveSearch
Changes needed to api and core modules.
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verified with `dotnet format`~ Java code follows AOSP style
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- [X] I didn't break anyone 😄
---------
Co-authored-by: Luigi Montoya <[email protected]>
Co-authored-by: joe-braley <[email protected]>
Co-authored-by: Luigi96 <[email protected]>
Co-authored-by: Mark Wallace <[email protected]>
Co-authored-by: John Oliver <[email protected]>
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verified with `dotnet format`
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄
---------
Co-authored-by: Luigi Montoya <[email protected]>
Co-authored-by: joe-braley <[email protected]>
Co-authored-by: Luigi96 <[email protected]>
Co-authored-by: Mark Wallace <[email protected]>
Co-authored-by: David Grieve <[email protected]>
Additionally removes the defaulting of the name for an annotated native
input parameter and requires explicit naming of the input name
---------
Co-authored-by: Luigi Montoya <[email protected]>
Co-authored-by: joe-braley <[email protected]>
Co-authored-by: Luigi96 <[email protected]>
Co-authored-by: Mark Wallace <[email protected]>
Co-authored-by: David Grieve <[email protected]>
### Motivation and Context
Add settings retrieval through properties file and env vars
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Adds util.Settings to load settings values from a properties file or
from the environment.
Also, the ability to have different client settings in the properties
file and load them by their specific schema Id:
```yaml
client.azureopenai.key: "AZURE_OPEN_AI_KEY"
client.azureopenai.endpoint: "AZURE_OPEN_AI_ENDPOINT"
client.azureopenai.deploymentname: "AZURE_OPEN_AI_DEPLOYMENT_NAME"
client.myazureopenai.key: "AZURE_OPEN_AI_KEY"
client.myazureopenai.endpoint: "AZURE_OPEN_AI_ENDPOINT"
client.myazureopenai.deploymentname: "AZURE_OPEN_AI_DEPLOYMENT_NAME"
```
By calling `Settings.getAzureOpenAISettingsFromFile(CONF_PROPERTIES)`
the user would be able to load the Azure settings using the default
schema id, as shown in the block at the top.
By calling `Settings.getAzureOpenAISettingsFromFile(CONF_PROPERTIES,
"myazureopenai")` the user would be able to load a different Azure
configuration by just adding the second block to the properties file.
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verified with `dotnet format`
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄
---------
Co-authored-by: Luigi Montoya <[email protected]>
Co-authored-by: joe-braley <[email protected]>
Co-authored-by: Luigi96 <[email protected]>
Co-authored-by: Mark Wallace <[email protected]>
Co-authored-by: John Oliver <[email protected]>
Co-authored-by: David Grieve <[email protected]>
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verified with `dotnet format`
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- [ ] I didn't break anyone 😄
