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README.md: make it clear that we may extend semantic conventions (#13)
Add the common EDOT explaination with an additional bullet point citing that extensions to semantic conventions are possible.
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README.md

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The Elastic Distribution of OpenTelemetry Python (EDOT Python) is a customized version of [OpenTelemetry Python](https://opentelemetry.io/docs/languages/python).
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EDOT Python makes it easier to get started using OpenTelemetry in your Python applications through strictly OpenTelemetry native means, while also providing a smooth and rich out of the box experience with [Elastic Observability](https://www.elastic.co/observability). It's an explicit goal of this distribution to introduce **no new concepts** in addition to those defined by the wider OpenTelemetry community.
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This repository contains instrumentation libraries following the OpenTelemetry Semantic conventions.
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With EDOT Python you have access to all the features of the OpenTelemetry Python agent plus:
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* Access to improvements and bug fixes contributed by the Elastic team _before_ the changes are available upstream in OpenTelemetry repositories.
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* Access to optional features that can enhance OpenTelemetry data that is being sent to Elastic.
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* Elastic-specific processors that ensure optimal compatibility when exporting OpenTelemetry signal data to an Elastic backend like an Elastic Observability deployment.
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* Preconfigured collection of tracing and metrics signals, applying some opinionated defaults, such as which sources are collected by default.
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* Elastic-specific enhancements and integrations such as extensions to GenAI semantic conventions
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## Available instrumentations
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