remove unused files

2026-09-28 23:48:31 +02:00 · 2024-09-17 22:50:29 -07:00
parent 3f607e7266
commit 41b0b366a9
4 changed files with 0 additions and 82 deletions
@@ -1,5 +0,0 @@
---
-title: Benchmarks
-weight: 33
-draft: true
---
@@ -1,15 +0,0 @@
---
-title: Community links
-weight: 42
-draft: true
---
-
-# Community Contributions
-
-Though we do not officially maintain this content, we still feel that is is valuable and thank our dedicated contributors. 
-
-| Link | Description                  | Stack  |   
-|------|------------------------------|--------|
-| [Pinecone to Qdrant Migration](https://github.com/NirantK/qdrant_tools)       | Complete python toolset that supports migration between two products.       | Qdrant, Pinecone |  
-| [LlamaIndex Support for Qdrant](https://gpt-index.readthedocs.io/en/latest/examples/vector_stores/QdrantIndexDemo.html)   | Documentation on common integrations with LlamaIndex.    | Qdrant, LlamaIndex |   
-| [Geo.Rocks Semantic Search Tutorial](https://geo.rocks/post/qdrant-transformers-js-semantic-search/)           | Create a fully working semantic search stack with a built in search API and a minimal stack.  | Qdrant, HuggingFace, SentenceTransformers, transformers.js | 
@@ -1,16 +0,0 @@
---
-title: Contribution Guidelines
-weight: 35
-draft: true
---
-
-# How to contribute
-
-If you are a Qdrant user - Data Scientist, ML Engineer, or MLOps, the best contribution would be the feedback on your experience with Qdrant.
-Let us know whenever you have a problem, face an unexpected behavior, or see a lack of documentation.
-You can do it in any convenient way - create an [issue](https://github.com/qdrant/qdrant/issues), start a [discussion](https://github.com/qdrant/qdrant/discussions), or drop up a [message](https://discord.gg/tdtYvXjC4h).
-If you use Qdrant or Metric Learning in your projects, we'd love to hear your story! Feel free to share articles and demos in our community.
-
-For those familiar with Rust - check out our [contribution guide](https://github.com/qdrant/qdrant/blob/master/CONTRIBUTING.md).
-If you have problems with code or architecture understanding - reach us at any time.
-Feeling confident and want to contribute more? - Come to [work with us](https://qdrant.join.com/)!
@@ -1,46 +0,0 @@
---
-title: Roadmap
-weight: 32
-draft: true
---
-
-# Qdrant 2023 Roadmap
-
-Goals of the release:
-
-* **Maintain easy upgrades** - we plan to keep backward compatibility for at least one major version back. 
-  * That means that you can upgrade Qdrant without any downtime and without any changes in your client code within one major version.
-  * Storage should be compatible between any two consequent versions, so you can upgrade Qdrant with automatic data migration between consecutive versions.
-* **Make billion-scale serving cheap** - qdrant already can serve billions of vectors, but we want to make it even more affordable.
-* **Easy scaling** - our plan is to make it easy to dynamically scale Qdrant, so you could go from 1 to 1B vectors seamlessly.
-* **Various similarity search scenarios** - we want to support more similarity search scenarios, e.g. sparse search, grouping requests, diverse search, etc.
-
-## Milestones
-
-* :atom_symbol: Quantization support
-  * [ ] Scalar quantization f32 -> u8 (4x compression)
-  * [ ] Advanced quantization (8x and 16x compression)
-  * [ ] Support for binary vectors
-
---
-
-* :arrow_double_up: Scalability
-  * [ ] Automatic replication factor adjustment
-  * [ ] Automatic shard distribution on cluster scaling
-  * [ ] Repartitioning support
-
---
-
-* :eyes: Search scenarios
-  * [ ] Diversity search - search for vectors that are different from each other
-  * [ ] Sparse vectors search - search for vectors with a small number of non-zero values
-  * [ ] Grouping requests - search within payload-defined groups
-  * [ ] Different scenarios for recommendation API
-
---
-    
-* Additionally
-  * [ ] Extend full-text filtering support
-    * [ ] Support for phrase queries
-    * [ ] Support for logical operators
-  * [ ] Simplify update of collection parameters