update examples

qdrant-landing/content/documentation/embeddings/aleph-alpha.md

@@ -1,9 +1,14 @@
 ---
 title: Aleph Alpha
 weight: 900
-aliases: [ ../integrations/aleph-alpha/ ]
+aliases:
+  - /documentation/examples/aleph-alpha-search/
+  - /documentation/tutorials/aleph-alpha-search/
+  - /documentation/integrations/aleph-alpha/ 
 ---
 
+# Using Aleph Alpha Embeddings with Qdrant 
+
 Aleph Alpha is a multimodal and multilingual embeddings' provider. Their API allows creating the embeddings for text and images, both 
 in the same latent space. They maintain an [official Python client](https://github.com/Aleph-Alpha/aleph-alpha-client) that might be 
 installed with pip:

qdrant-landing/content/documentation/examples/_index.md

@@ -6,8 +6,6 @@ weight: 35
 
 | End-to-End Code Samples                                                                   | Description                                                       | Stack                                       |   
 |---------------------------------------------------------------------------------|-------------------------------------------------------------------|---------------------------------------------|
-| [Aleph Alpha Search](../examples/aleph-alpha-search/)                          | Build a multimodal search that combines text and image data.      | Qdrant, Aleph Alpha                         | 
-| [Mighty Semantic Search](../examples/mighty/)                                  | Build a simple semantic search with an on-demand NLP service.     | Qdrant, Mighty                              | 
 | [Multitenancy with LlamaIndex](../examples/llama-index-multitenancy/)          | Handle data coming from multiple users in LlamaIndex.             | Qdrant, Python, LlamaIndex                  |
 | [Implement custom connector for Cohere RAG](../examples/cohere-rag-connector/) | Bring data stored in Qdrant to Cohere RAG                         | Qdrant, Cohere, FastAPI                     |
 | [Chatbot for Interactive Learning](../examples/rag-chatbot-red-hat-openshift-haystack/)                                 | Build a Private RAG Chatbot for Interactive Learning              | Qdrant, Haystack, OpenShift                                      |  

qdrant-landing/content/documentation/examples/aleph-alpha-search.md

@@ -1,8 +1,7 @@
 ---
 title: Aleph Alpha Search
 weight: 16
-aliases:
-  - /documentation/tutorials/aleph-alpha-search/
+draft: true
 ---
 
 # Multimodal Semantic Search with Aleph Alpha

qdrant-landing/content/documentation/examples/mighty.md

@@ -6,8 +6,7 @@ weight: 17
 author: Andre Bogus
 author_link: https://llogiq.github.io
 date: 2023-06-01T11:24:20+01:00
-aliases:
-  - /documentation/tutorials/mighty.md/
+draft: true
 keywords:
   - vector search
   - embeddings

qdrant-landing/content/documentation/tutorials/search-beginners.md

@@ -1,6 +1,8 @@
 ---
 title: Semantic Search 101
 weight: -100
+aliases:
+  - /documentation/tutorials/mighty.md/
 ---
 
 # Semantic Search for Beginners