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ci(release): 0.7.0-beta.2 [skip ci]
## [0.7.0-beta.2](v0.7.0-beta.1...v0.7.0-beta.2) (2024-05-03) ### Features * Azure implementation + embeddings refactoring ([aa9271e](aa9271e)) ### Refactor * Changed the way embedding model is created in AbstractGraph class and removed handling of embedding model creation from RAGNode. Now AbstractGraph will call a dedicated method for embedding models instead of _create_llm. This makes it easy to use any LLM with any supported embedding model. ([819cbcd](819cbcd))
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CHANGELOG.md

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## [0.7.0-beta.2](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.7.0-beta.1...v0.7.0-beta.2) (2024-05-03)
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### Features
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* Azure implementation + embeddings refactoring ([aa9271e](https://github.com/VinciGit00/Scrapegraph-ai/commit/aa9271e7bc4daa54860499d0615580b17550ff58))
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### Refactor
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* Changed the way embedding model is created in AbstractGraph class and removed handling of embedding model creation from RAGNode. Now AbstractGraph will call a dedicated method for embedding models instead of _create_llm. This makes it easy to use any LLM with any supported embedding model. ([819cbcd](https://github.com/VinciGit00/Scrapegraph-ai/commit/819cbcd3be1a8cb195de0b44c6b6d4d824e2a42a))
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## [0.7.0-beta.1](https://github.com/VinciGit00/Scrapegraph-ai/compare/v0.6.2...v0.7.0-beta.1) (2024-05-03)
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pyproject.toml

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[tool.poetry]
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name = "scrapegraphai"
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version = "0.7.0b1"
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version = "0.7.0b2"
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description = "A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines."
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authors = [

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