Add Gemini Embedding Model 001 (#457)

* * feat(gemini.md): add documentation for integrating Gemini embeddings with Qdrant

* * refactor(integrations): move cohere.md to embeddings folder
* refactor(integrations): move openai.md to embeddings folder
* refactor(integrations): move autogen.md to frameworks folder
* refactor(integrations): move langchain.md to frameworks folder

* blacken

* * feat(embedding, frameworks): reorganise integrations into embedding and frameworks, add _index.md to both

* * chore(gemini.md): remove old Gemini integration documentation

* * chore(embedding/_index.md): update weight from 24 to 23 and set is_empty to false
* chore(frameworks/_index.md): update weight from 24 to 23 and set is_empty to false

* Split integrations into embedding and frameworks

* Update heading level for embedding a document

* Update Gemini embedding documentation

* Update titles for embedding and frameworks sections

* Try again with nesting

* Add documentation for integrated frameworks and embedding options

* Delete integrations documentation file

* Add Delimiter; unknown weights

* Change all weights to 3x

* Delimiter reorg

* Update qdrant-landing/content/documentation/embedding/gemini.md

Co-authored-by: Atita Arora <atarora@users.noreply.github.com>

* Update qdrant-landing/content/documentation/embedding/gemini.md

Co-authored-by: Atita Arora <atarora@users.noreply.github.com>

* Update qdrant-landing/content/documentation/embedding/gemini.md

Co-authored-by: Atita Arora <atarora@users.noreply.github.com>

* Update qdrant-landing/content/documentation/embedding/gemini.md

Co-authored-by: Atita Arora <atarora@users.noreply.github.com>

* Update qdrant-landing/content/documentation/embedding/gemini.md

Co-authored-by: Atita Arora <atarora@users.noreply.github.com>

* Update qdrant-landing/content/documentation/embedding/gemini.md

Co-authored-by: Atita Arora <atarora@users.noreply.github.com>

* Update qdrant-landing/content/documentation/embedding/gemini.md

Co-authored-by: Atita Arora <atarora@users.noreply.github.com>

* Update qdrant-landing/content/documentation/embedding/gemini.md

Co-authored-by: Atita Arora <atarora@users.noreply.github.com>

* Update qdrant-landing/content/documentation/embedding/gemini.md

Co-authored-by: Atita Arora <atarora@users.noreply.github.com>

* * docs(embedding/gemini.md): update Gemini Embedding Model API documentation
*
* - Add information about the new Gemini Embedding Model and its compatibility with Qdrant
* - Clarify the usage of the `task_type` parameter in the API call
* - Provide a list of supported task types and

* * docs(embedding): update list of embedding integrations

* * refactor(fifty-one.md): Rename file from embedding/fifty-one.md to frameworks/fifty-one.md
* refactor(txtai.md): Rename file from embedding/txtai.md to frameworks/txtai.md

* * chore(embedding): update is_empty value to true in _index.md
* chore(embedding): remove Fifty One from embedding/_index.md

* embedding -> embeddings

---------

Co-authored-by: Atita Arora <atarora@users.noreply.github.com>

qdrant-landing/content/documentation/frameworks/docarray.md

@@ -0,0 +1,19 @@
+---
+title: DocArray
+weight: 300
+---
+
+# DocArray
+You can use Qdrant natively in DocArray, where Qdrant serves as a high-performance document store to enable scalable vector search.
+
+DocArray is a library from Jina AI for nested, unstructured data in transit, including text, image, audio, video, 3D mesh, etc.
+It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer the data with a Pythonic API.
+
+
+To install DocArray with Qdrant support, please do
+
+```bash
+pip install "docarray[qdrant]"
+```
+
+More information can be found in [DocArray's documentations](https://docarray.jina.ai/advanced/document-store/qdrant/).