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Update v1.2 release notes according to Ke's comments.
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joshuayao committed Jan 16, 2025
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More information about how to get started with OPEA v1.2 can be found at [Getting Started](https://opea-project.github.io/latest/index.html) page. All project source code is maintained in the [repository](https://github.com/opea-project). To pull Docker images, please access the [Docker Hub](https://hub.docker.com/u/opea). For instructions on deploying Helm Charts, please refer to the [guide](https://github.com/opea-project/GenAIInfra/tree/v1.2/helm-charts#readme).

## What's New in OPEA v1.2
This release focuses on code refactoring for [GenAIComps](https://github.com/opea-project/GenAIComps), the epic efforts aimed at reduceing redundancy, addressing technical debt, and enhancing overall maintainability and code quality. As a result, OPEA users can expect a more robust and reliable OPEA with clearer guidance and improved documentation.
This release focuses on code refactoring for [GenAIComps](https://github.com/opea-project/GenAIComps), the epic efforts aimed at reducing redundancy, addressing technical debt, and enhancing overall maintainability and code quality. As a result, OPEA users can expect a more robust and reliable OPEA with clearer guidance and improved documentation.

OPEA v1.2 also introduces more scenarios with general availability, including:
- <b>[LlamaIndex](https://github.com/run-llama/llama_index/pull/16666) and [LangChain](https://github.com/opea-project/GenAIComps/pull/1128) integration</b>: Enabling OPEA as a backend. LlamaIndex integration currently supports [ChatQnA](https://github.com/opea-project/GenAIExamples/tree/v1.2/ChatQnA) only.
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This release would not have been possible without the contributions of the following organizations and individuals.

### Contributing Organizations
- `Amazon`: AMD CPU/GPU support for GenAIExamples.
- `AMD`: Bedrock and OpenSearch vector database integration.
- `Amazon`: Bedrock and OpenSearch vector database integration.
- `AMD`: AMD CPU/GPU support for GenAIExamples.
- `Infosys`: Elasticsearch vector database integration.
- `Intel`: Development and improvements to GenAI examples, components, infrastructure, and evaluation.

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