[Website] Website changes (#7729)

GitOrigin-RevId: 9be7cbc7515cca611c9b7d3842db48b2575e6ee4

docs/2.developers/7.templates/.adaptive-rag/article.py

@@ -5,7 +5,7 @@
 # article:
 #     thumbnail: '/assets/content/blog/adaptive-rag-plots/visual-abstract.png'
 #     thumbnailFit: 'contain'
-#     tags: ['showcase', 'llm']
+#     tags: ['showcase', 'ai-pipelines']
 #     date: '2024-03-28'
 #     related: false
 # notebook_export_path: notebooks/showcases/adaptive_rag_question_answering.ipynb

docs/2.developers/7.templates/1000.demo-question-answering.md

@@ -3,7 +3,7 @@ title: "Question-Answering RAG App"
 description: "Basic end-to-end RAG app. A question-answering pipeline that uses the GPT model of choice to provide answers to queries to your documents (PDF, DOCX,...) on a live connected data source (files, Google Drive, Sharepoint,...)."
 redirection: "/~https://github.com/pathwaycom/llm-app/tree/main/examples/pipelines/demo-question-answering"
 article:
-    tags: ['showcase', 'llm']
+    tags: ['showcase', 'ai-pipelines']
     date: '2024-06-04'
     related: false
 author: "pathway"

docs/2.developers/7.templates/1001.template-adaptive-rag.md

@@ -4,7 +4,7 @@ description: "A RAG application using Adaptive RAG, a technique developed by Pat
 article:
     thumbnail: '/assets/content/blog/adaptive-rag-plots/visual-abstract.png'
     thumbnailFit: 'contain'
-    tags: ['showcase', 'llm']
+    tags: ['showcase', 'ai-pipelines']
     date: '2024-03-29'
     related: false
 author: "pathway"

docs/2.developers/7.templates/1002.template-private-rag.md

@@ -2,7 +2,7 @@
 title: "Private RAG App with Mistral and Ollama"
 description: "A fully private (local) version of the 'demo-question-answering' RAG pipeline using Pathway, Mistral, and Ollama."
 article:
-    tags: ['showcase', 'llm']
+    tags: ['showcase', 'ai-pipelines']
     date: '2024-04-22'
     related: false
     thumbnail: '/assets/content/blog/local-adaptive-rag/local_adaptive.png'

docs/2.developers/7.templates/1003.template-multimodal-rag.md

@@ -2,7 +2,7 @@
 title: "Multimodal RAG pipeline with GPT4o"
 description: "Multimodal RAG using GPT-4o in the parsing stage to index PDFs and other documents from a connected data source files, Google Drive, Sharepoint,...). It is perfect for extracting information from unstructured financial documents in your folders (including charts and tables), updating results as documents change or new ones arrive."
 article:
-    tags: ['showcase', 'llm']
+    tags: ['showcase', 'ai-pipelines']
     date: '2024-01-01'
     related: false
     thumbnail: "https://pathway.com/assets/content/showcases/multimodal-RAG/multimodalRAG-blog-banner.png"

docs/2.developers/7.templates/1008.template-demo-document-indexing.md

@@ -2,7 +2,7 @@
 title: "Live Document Indexing (Vector Store / Retriever)"
 description: "A real-time document indexing pipeline for RAG that acts as a vector store service. It performs live indexing on your documents (PDF, DOCX,...) from a connected data source (files, Google Drive, Sharepoint,...). It can be used with any frontend, or integrated as a retriever backend for a Langchain or Llamaindex application."
 article:
-    tags: ['showcase', 'llm']
+    tags: ['showcase', 'ai-pipelines']
     date: '2024-01-01'
     related: false
 author: "pathway"

docs/2.developers/7.templates/1009.drive-alert.md

@@ -2,7 +2,7 @@
 title: "Alerting when answers change on Google Drive"
 description: "Ask questions about your private data (docs), and tell the app to alert you whenever responses change. The app is always connected to your Google Docs folder and listening for changes. Whenever new relevant information is added to the data sources, the LLM decides if there is a substantial difference in response and notifies the user with a Slack message."
 article:
-    tags: ['showcase', 'llm']
+    tags: ['showcase', 'ai-pipelines']
     date: '2024-11-07'
     related: false
 author: "pathway"

docs/2.developers/7.templates/1010.template-slides-search.md

@@ -2,7 +2,7 @@
 title: "Slides AI Search App"
 description: "An indexing pipeline for retrieving slides. It performs multi-modal of PowerPoint and PDF and maintains live index of your slides."
 article:
-    tags: ['showcase', 'llm']
+    tags: ['showcase', 'ai-pipelines']
     date: '2024-11-14'
     related: false
 author: "pathway"

docs/2.developers/7.templates/5.unstructured-to-structured.md

@@ -7,7 +7,7 @@ article:
   date: '2023-11-28'
   thumbnail: '/assets/content/showcases/llm-app/architecture_unst_to_st.png'
   thumbnailFit: 'contain'
-  tags: ['showcase', 'llm']
+  tags: ['showcase', 'ai-pipelines']
 keywords: ['LLM', 'SQL', 'unstructured', 'PostgreSQL', 'GPT', 'Entity extraction', 'Document parsing', 'JSON', 'unstructured', 'Docker']
 docker_github_link: "/~https://github.com/pathwaycom/llm-app/tree/main/examples/pipelines/unstructured_to_sql_on_the_fly"
 ---