* Add a section about requirements for Qdrant
* Separate installation instructions between recommended installations for prod and dev
* Add cloud option
* Add enterprise operator option
* Add details about configuring the database with docker
* First draft of the improved snapshots tutorial
* Improve snapshot tutorial to use 3-node cluster
* Adjust the title
* Change the variable name
* Add a link to the docs
* Add paragraph on snapshot restoring
* review fixes
---------
Co-authored-by: generall <andrey@vasnetsov.com>
* Add common datasets
* Add instruction for titles
* Add tutorial on how to use Hugging Face datasets
* Add an information about Qdrant org at Hugging Face
* Add links to Hugging Face datasets
* Add preview images
* Add CTA (Discord)
* Fix typo
* Add link to Discord
* List available datasets on top of the page
* Fix some typos and improve intro
* Fix some typos and improve intro
* Add fixed snapshot links
* Add Wolt food dataset
* Add API calls to restore the snapshots
* Adjust the weight of the section
* Reorder tutorials
* * docs(gemini.md): add section on using Gemini Embedding Models with Binary Quantization
* * docs(gemini.md): provide comparison results of search with Binary Quantization and original model
* * docs(gemini.md): update Gemini Embedding Models performance table with improved recall at 100 oversampling limit
* * docs(gemini.md): fix typo in search results table caption
* * 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>
* * docs(indexing.md): update section title from "Sparse vector index" to "Sparse Vector Index"
* docs(indexing.md): add key features of sparse vector index
* docs(indexing.md): add search mechanism details for sparse vector index
* docs(indexing.md): add optimizations details for sparse
* * docs(search.md): update comparison table between sparse and dense vector search
* * docs(indexing.md): update availability information for Sparse Vector Index feature
