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mattgotteinermattgotteiner
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fix index schema
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-64
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2 files changed

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‎Quickstart-Agentic-Retrieval/quickstart.ipynb‎

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@@ -55,7 +55,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"id": "ee48bec5",
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"metadata": {},
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"outputs": [
@@ -77,8 +77,7 @@
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" SearchField(name=\"id\", type=\"Edm.String\", key=True, filterable=True, sortable=True, facetable=True),\n",
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" SearchField(name=\"page_chunk\", type=\"Edm.String\", filterable=False, sortable=False, facetable=False),\n",
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" SearchField(name=\"page_embedding_text_3_large\", type=\"Collection(Edm.Single)\", stored=False, vector_search_dimensions=3072, vector_search_profile_name=\"hnsw_text_3_large\"),\n",
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" SearchField(name=\"page_number\", type=\"Edm.Int32\", filterable=True, sortable=True, facetable=True),\n",
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" SearchField(name=\"chapter_number\", type=\"Edm.Int32\", filterable=True, sortable=True, facetable=True)\n",
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" SearchField(name=\"page_number\", type=\"Edm.Int32\", filterable=True, sortable=True, facetable=True)\n",
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" ],\n",
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" vector_search=VectorSearch(\n",
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" profiles=[VectorSearchProfile(name=\"hnsw_text_3_large\", algorithm_configuration_name=\"alg\", vectorizer_name=\"azure_openai_text_3_large\")],\n",

‎agent-example/agent-example.ipynb‎

Lines changed: 83 additions & 61 deletions
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@@ -55,7 +55,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"id": "91fd6810",
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"metadata": {},
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"outputs": [
@@ -77,8 +77,7 @@
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" SearchField(name=\"id\", type=\"Edm.String\", key=True, filterable=True, sortable=True, facetable=True),\n",
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" SearchField(name=\"page_chunk\", type=\"Edm.String\", filterable=False, sortable=False, facetable=False),\n",
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" SearchField(name=\"page_embedding_text_3_large\", type=\"Collection(Edm.Single)\", stored=False, vector_search_dimensions=3072, vector_search_profile_name=\"hnsw_text_3_large\"),\n",
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" SearchField(name=\"page_number\", type=\"Edm.Int32\", filterable=True, sortable=True, facetable=True),\n",
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" SearchField(name=\"chapter_number\", type=\"Edm.Int32\", filterable=True, sortable=True, facetable=True)\n",
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" SearchField(name=\"page_number\", type=\"Edm.Int32\", filterable=True, sortable=True, facetable=True)\n",
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" ],\n",
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" vector_search=VectorSearch(\n",
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" profiles=[VectorSearchProfile(name=\"hnsw_text_3_large\", algorithm_configuration_name=\"alg\", vectorizer_name=\"azure_openai_text_3_large\")],\n",
@@ -317,10 +316,46 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 12,
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"id": "f1fc04fc",
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Agent response: ### Suburban Belts vs\n",
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" Urban Cores December Brightening\n",
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"\n",
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"Suburban belts often have a larger increase in brightness during December compared to urban cores, even though absolute light levels are higher downtown\n",
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" This phenomenon can be attributed to the prevalent use of holiday light displays in residential areas\n",
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" During the holiday season, many suburban homes are decorated with extensive light displays for Christmas and New Year celebrations, causing a significant increase in local brightness\n",
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" In contrast, urban cores, which typically comprise commercial and industrial areas, may not see such a dramatic increase in lighting because these areas are already brightly lit and may not participate as extensively in the holiday light decorations ([ref_id: 0])\n",
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"\n",
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"\n",
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"### Phoenix Nighttime Street Grid\n",
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"\n",
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"The Phoenix nighttime street grid is sharply visible from space due to the urban structure and meticulous grid layout of city blocks and streets\n",
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" Phoenix, like many large urban areas in the central and western United States, is planned along a regular grid system\n",
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" This grid is clearly illuminated by streetlights, making it highly visible from the low-Earth-orbit vantage point of satellites\n",
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" Major thoroughfares, such as Grand Avenue, are brightly lit and cut diagonally across the grid, further enhancing visibility\n",
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" Additionally, Phoenix's extensive urban and suburban sprawl, with its many residential and commercial areas, contributes to the well-defined grid pattern seen from space ([ref_id: 1])\n",
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"\n",
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"\n",
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"In contrast, large stretches of the interstate between midwestern cities remain comparatively dim because these areas are often rural and less densely populated, resulting in fewer streetlights and less overall illumination\n",
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" The focus of lighting in rural areas tends to be around key nodal points such as intersections and town centers, rather than continuous bright lighting along highways or interstates ([ref_id: 2])\n",
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" \n",
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"\n",
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"References:\n",
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"- [ref_id: 0]: Holiday light increase in suburban belts\n",
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"\n",
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"- [ref_id: 1]: Grid layout and brightly lit thoroughfares in Phoenix\n",
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"\n",
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"- [ref_id: 2]: Lighting patterns in rural areas along interstates\n",
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"\n"
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]
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}
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],
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"source": [
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"message = project_client.agents.create_message(\n",
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" thread_id=thread.id,\n",
@@ -349,7 +384,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 13,
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"id": "7b90fefa",
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"metadata": {},
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"outputs": [
@@ -363,7 +398,7 @@
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" \"type\": \"ModelQueryPlanning\",\n",
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" \"id\": 0,\n",
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" \"inputTokens\": 1359,\n",
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" \"outputTokens\": 516\n",
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" \"outputTokens\": 518\n",
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" },\n",
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" {\n",
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" \"type\": \"AzureSearchQuery\",\n",
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" \"search\": \"suburban belts December brightening compared to urban cores\",\n",
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" \"filter\": null\n",
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" },\n",
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" \"queryTime\": \"2025-04-30T03:45:03.614Z\",\n",
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" \"elapsedMs\": 437\n",
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" \"queryTime\": \"2025-05-01T23:27:06.679Z\",\n",
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" \"elapsedMs\": 361\n",
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" },\n",
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" {\n",
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" \"type\": \"AzureSearchQuery\",\n",
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" \"search\": \"Phoenix nighttime street grid visibility from space\",\n",
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" \"filter\": null\n",
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" },\n",
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" \"queryTime\": \"2025-04-30T03:45:03.957Z\",\n",
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" \"queryTime\": \"2025-05-01T23:27:07.021Z\",\n",
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" \"count\": 2,\n",
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" \"elapsedMs\": 342\n",
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" \"elapsedMs\": 341\n",
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" },\n",
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" {\n",
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" \"type\": \"AzureSearchQuery\",\n",
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" \"id\": 3,\n",
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" \"targetIndex\": \"earth_at_night\",\n",
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" \"query\": {\n",
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" \"search\": \"dim interstates between midwestern cities compared to Phoenix\",\n",
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" \"search\": \"dim interstates between midwestern cities at night\",\n",
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" \"filter\": null\n",
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" },\n",
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" \"queryTime\": \"2025-04-30T03:45:04.250Z\",\n",
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" \"elapsedMs\": 293\n",
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" \"queryTime\": \"2025-05-01T23:27:07.423Z\",\n",
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" \"elapsedMs\": 401\n",
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" }\n",
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"]\n",
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"Retrieval results\n",
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 14,
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"id": "d9478191",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Agent response: To find lava at night, you can use the following methods:\n",
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"Agent response: To find lava at night, you can rely on a combination of visual and infrared imaging techniques from satellite observations:\n",
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"\n",
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"1\n",
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" **Infrared Imaging:**\n",
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" - Satellite instruments such as the Thermal Infrared Sensor (TIRS) on Landsat 8 can detect the thermal (infrared) signature of lava\n",
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" This allows for the observation of both hot and cooling lava flows which are not visible in regular imagery ([ref: 2, 3, 4])\n",
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"\n",
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" - Combining thermal imaging with nightlight data provides a comprehensive view of volcanic activity, distinguishing the hot lava from the cooler surroundings\n",
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" **Thermal Imaging**: Satellites with thermal infrared sensors, like the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS) on the Landsat 8 satellite, can detect the thermal signature of hot lava\n",
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" These sensors can differentiate between the very hot bright white areas, cooling lava appearing red, and lava flows obstructed by clouds appearing purple ([ref_id: 3])\n",
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"\n",
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"\n",
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"2\n",
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" **Visible Light Monitoring:**\n",
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" - The Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) on polar-orbiting satellites can detect faint sources of illumination such as moonlight, which can highlight glowing lava flows at night ([ref: 4, 5])\n",
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"\n",
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" - The DNB can capture the glow from active vents and lava flows, making it possible to track volcanic activity even in the absence of sunlight\n",
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" **Nightlight Images**: The VIIRS Day/Night Band (DNB) on polar-orbiting satellites captures faint light sources such as moonlight and starlight\n",
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" These nightlight images can reveal the glow of lava flows, especially in the presence of sufficient moonlight ([ref_id: 0])\n",
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"\n",
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"\n",
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"3\n",
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" **Astronaut Photography:**\n",
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" - Nighttime photographs taken by astronauts aboard the International Space Station (ISS) can capture the glow of lava against the backdrop of city lights, providing a visual reference for volcanic activity ([ref: 2, 3])\n",
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" **Combining Thermal and Visual Data**: Combining thermal data with nightlight images can provide a more comprehensive view of volcanic activity at night\n",
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" This approach has been used to monitor lava flows from volcanoes like Mount Etna and Kilauea ([ref_id: 2], [ref_id: 0])\n",
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"\n",
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"\n",
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"4\n",
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" **Using Satellite Observations**: Satellites like Suomi NPP and Landsat 8 provide valuable data for monitoring volcanic activity\n",
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" These satellites allow for continuous observation and help detect changes in the lava flow and volcanic ash plumes ([ref_id: 5])\n",
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"\n",
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"\n",
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"By leveraging these satellite imaging techniques, you can effectively monitor and locate lava flows during nighttime hours\n",
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"\n",
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"\n",
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"Overall, infrared and visible light satellite imagery, combined with thermal data, are effective tools for locating and monitoring lava flows at night\n",
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"References:\n",
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"- [ref_id: 0]: Nighttime glow of lava at Mount Etna\n",
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"\n",
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"- [ref_id: 2]: Visibility of hot lava at Mount Etna\n",
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"\n",
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"- [ref_id: 3]: Thermal imaging of Kilauea's lava flows\n",
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"\n",
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"- [ref_id: 5]: Use of VIIRS and thermal sensors for volcanic activity observation\n",
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"\n"
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]
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}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 15,
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"id": "c063c45e",
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"metadata": {},
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"outputs": [
@@ -514,43 +559,20 @@
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" {\n",
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" \"type\": \"ModelQueryPlanning\",\n",
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" \"id\": 0,\n",
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" \"inputTokens\": 1816,\n",
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" \"outputTokens\": 291\n",
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" \"inputTokens\": 1788,\n",
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" \"outputTokens\": 100\n",
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" },\n",
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" {\n",
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" \"type\": \"AzureSearchQuery\",\n",
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" \"id\": 1,\n",
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" \"targetIndex\": \"earth_at_night\",\n",
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" \"query\": {\n",
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" \"search\": \"locating lava flows at night\",\n",
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" \"search\": \"locating lava at night\",\n",
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" \"filter\": null\n",
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" },\n",
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" \"queryTime\": \"2025-04-30T03:45:39.901Z\",\n",
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" \"queryTime\": \"2025-05-01T23:27:22.983Z\",\n",
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" \"count\": 6,\n",
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" \"elapsedMs\": 19627\n",
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" },\n",
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" {\n",
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" \"type\": \"AzureSearchQuery\",\n",
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" \"id\": 2,\n",
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" \"targetIndex\": \"earth_at_night\",\n",
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" \"query\": {\n",
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" \"search\": \"nighttime visibility of lava\",\n",
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" \"filter\": null\n",
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" },\n",
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" \"queryTime\": \"2025-04-30T03:45:40.301Z\",\n",
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" \"count\": 6,\n",
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" \"elapsedMs\": 400\n",
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" },\n",
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" {\n",
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" \"type\": \"AzureSearchQuery\",\n",
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" \"id\": 3,\n",
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" \"targetIndex\": \"earth_at_night\",\n",
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" \"query\": {\n",
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" \"search\": \"equipment for finding lava at night\",\n",
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" \"filter\": null\n",
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" },\n",
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" \"queryTime\": \"2025-04-30T03:45:40.584Z\",\n",
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" \"elapsedMs\": 282\n",
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" \"elapsedMs\": 407\n",
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" }\n",
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"]\n",
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"Retrieval results\n",
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" {\n",
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" \"type\": \"AzureSearchDoc\",\n",
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" \"id\": \"2\",\n",
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" \"activitySource\": 2,\n",
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" \"activitySource\": 1,\n",
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" \"docKey\": \"earth_at_night_508_page_66_verbalized\",\n",
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" \"sourceData\": null\n",
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" },\n",
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" {\n",
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" \"type\": \"AzureSearchDoc\",\n",
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" \"id\": \"4\",\n",
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" \"activitySource\": 2,\n",
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" \"docKey\": \"earth_at_night_508_page_46_verbalized\",\n",
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" \"sourceData\": null\n",
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" {\n",
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" \"type\": \"AzureSearchDoc\",\n",
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" \"id\": \"5\",\n",
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" \"activitySource\": 1,\n",
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" \"docKey\": \"earth_at_night_508_page_44_verbalized\",\n",
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" \"docKey\": \"earth_at_night_508_page_46_verbalized\",\n",
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" \"sourceData\": null\n",
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" }\n",
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"]\n"

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