Update semantic_retrieval.ipynb (google#397)

Update links

Author: JosBecker

site/en/gemini-api/docs/semantic_retrieval.ipynb

@@ -72,7 +72,7 @@
         "\n",
         "This notebook walks you through a workflow to improve an LLM's response by augmenting its knowledge with external text corpora and performing semantic information retrieval to answer questions using the Semantic Retriever and the Attributed Question & Answering (AQA) APIs of the [Generative Language API](../api/python/google/ai/generativelanguage).\n",
         "\n",
-        "Note: This API is currently in [beta](/docs/api_versions) and is [only available in certain regions](../available_regions).\n"
+        "Note: This API is currently in [beta](https://ai.google.dev/gemini-api/docs/api-versions) and is [only available in certain regions](https://ai.google.dev/gemini-api/docs/available-regions).\n"
       ]
     },
     {
@@ -719,7 +719,7 @@
       "source": [
         "## Attributed Question-Answering\n",
         "\n",
-        "Use the [`GenerateAnswer`](../api/python/google/ai/generativelanguage/GenerateAnswerRequest) method to perform Attributed Question-Answering over your document, corpus, or a set of passages.\n",
+        "Use the [`GenerateAnswer`](https://ai.google.dev/api/python/google/ai/generativelanguage/GenerateAnswerRequest) method to perform Attributed Question-Answering over your document, corpus, or a set of passages.\n",
         "\n",
         "Attributed Question-Answering (AQA) refers to answering questions grounded to a given context and providing attributions(s), while minimizing hallucination.\n",
         "\n",
@@ -769,7 +769,7 @@
       "source": [
         "### AQA Helpful Tips\n",
         "\n",
-        "For full API specifications, refer to the [`GenerateAnswerRequest` API Reference](../api/python/google/ai/generativelanguage/GenerateAnswerRequest).\n",
+        "For full API specifications, refer to the [`GenerateAnswerRequest` API Reference](https://ai.google.dev/api/python/google/ai/generativelanguage/GenerateAnswerRequest).\n",
         "\n",
         "* *Passage length*: Up to 300 tokens per passage are recommended.\n",
         "* *Passage sorting*:\n",
@@ -870,7 +870,7 @@
       "source": [
         "## Share the corpus\n",
         "\n",
-        "You can choose to share the corpus with others using the [`CreatePermissionRequest`](../api/python/google/ai/generativelanguage/CreatePermissionRequest) API.\n",
+        "You can choose to share the corpus with others using the [`CreatePermissionRequest`](https://ai.google.dev/api/python/google/ai/generativelanguage/CreatePermissionRequest) API.\n",
         "\n",
         "Constraints:\n",
         "\n",
@@ -912,7 +912,7 @@
       "source": [
         "## Delete the corpus\n",
         "\n",
-        "Use [`DeleteCorpusRequest`](../api/python/google/ai/generativelanguage/DeleteCorpusRequest) to delete a user corpus and all associated `Document`s & `Chunk`s.\n",
+        "Use [`DeleteCorpusRequest`](https://ai.google.dev/api/python/google/ai/generativelanguage/DeleteCorpusRequest) to delete a user corpus and all associated `Document`s & `Chunk`s.\n",
         "\n",
         "Note that non-empty corpora will throw an error without specifying an `force=True` flag. If you set `force=True`, any `Chunk`s and objects related to this `Document` will also be deleted.\n",
         "\n",