suggestions based on feedback

Signed-off-by: Ryan Cook <[email protected]>

Author: cooktheryan

docs/retrieval-augmented-generation/rag-framework.md

@@ -39,8 +39,8 @@ Out of those, we propose to use Haystack for the following reasons:
 
 7. **Actively maintained open source project under permissive license.** Haystack is very [actively](https://github.com/deepset-ai/haystack/pulse/monthly) [maintained](https://github.com/deepset-ai/haystack/issues?q=is%3Aissue+is%3Aclosed) and [supported](https://github.com/deepset-ai/haystack/discussions). [Tagged versions](https://github.com/deepset-ai/haystack/releases) are released on a regular basis and [trusted publishing automation](https://github.com/deepset-ai/haystack/actions/workflows/pypi_release.yml) is used. Haystack is licensed under Apache 2.0, and all of its dependencies (jinja2, lazy-imports, more-itertools, networkx, numpy, openai, pandas, posthog, python-dateutil, pyyaml, requests, tenacity, tqdm, typing-extensions) are licensed under Apache, MIT, BSD or PSFL.
 
-8. **Published to Pypi via Trusted Publishing.**
-See [trusted-publishers]https://docs.pypi.org/trusted-publishers/ for more information on trusted publishing. Haystack satisfies the requirements for trusted publishing with this [Github Actions workflow](https://github.com/deepset-ai/haystack/actions/workflows/pypi_release.yml).
+8. **Published to PyPI via Trusted Publishing.**
+See [trusted-publishers](https://docs.pypi.org/trusted-publishers/) for more information on trusted publishing. Haystack satisfies the requirements for trusted publishing with this [Github Actions workflow](https://github.com/deepset-ai/haystack/actions/workflows/pypi_release.yml).
 
 ## Goals