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Copy file name to clipboardExpand all lines: CHANGELOG.md
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### Added
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- Added AzureOpenAILLM and AzureOpenAIEmbeddings to support Azure served OpenAI models
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-Add`template` validation in `PromptTemplate` class upon construction.
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-Added`template` validation in `PromptTemplate` class upon construction.
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-`custom_prompt` arg is now converted to `Text2CypherTemplate` class within the `Text2CypherRetriever.get_search_results` method.
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-`Text2CypherTemplate` and `RAGTemplate` prompt templates now require `query_text` arg and will error if it is not present. Previous `query_text` aliases may be used, but will warn of deprecation.
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-Fix bug in `Text2CypherRetriever` using `custom_prompt` arg where the `search` method would not inject the `query_text` content.
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-Add feature to include kwargs in `Text2CypherRetriever.search()` that will be injected into a custom prompt, if provided.
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-Add validation to `custom_prompt` parameter of `Text2CypherRetriever` to ensure that `query_text` placeholder exists in prompt.
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-Fixed bug in `Text2CypherRetriever` using `custom_prompt` arg where the `search` method would not inject the `query_text` content.
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-Added feature to include kwargs in `Text2CypherRetriever.search()` that will be injected into a custom prompt, if provided.
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-Added validation to `custom_prompt` parameter of `Text2CypherRetriever` to ensure that `query_text` placeholder exists in prompt.
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- Introduced a fixed size text splitter component for splitting text into specified fixed size chunks with overlap. Updated examples and tests to utilize this new component.
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- Introduced Vertex AI LLM class for integrating Vertex AI models.
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- Added unit tests for the Vertex AI LLM class.
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- Added support for Cohere LLM and embeddings - added optional dependency to `cohere`.
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### Fixed
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- Resolved import issue with the Vertex AI Embeddings class.
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- Updated documentation to include OpenAI and Vertex AI embeddings classes.
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- Added google-cloud-aiplatform as an optional dependency for Vertex AI embeddings.
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### Fixed
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- Make `pygraphviz` an optional dependency - it is now only required when calling `pipeline.draw`.
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