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52 lines
1.9 KiB
Markdown
52 lines
1.9 KiB
Markdown
---
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title: Roadmap
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weight: 32
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---
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# Qdrant 2023 Roadmap
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Hi!
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This document is our plan for Qdrant development in 2023.
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Previous year roadmap is available here:
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* [Roadmap 2022](roadmap-2022.md)
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Goals of the release:
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* **Maintain easy upgrades** - we plan to keep backward compatibility for at least one major version back.
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* That means that you can upgrade Qdrant without any downtime and without any changes in your client code within one major version.
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* Storage should be compatible between any two consequent versions, so you can upgrade Qdrant with automatic data migration between consecutive versions.
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* **Make billion-scale serving cheap** - qdrant already can serve billions of vectors, but we want to make it even more affordable.
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* **Easy scaling** - our plan is to make it easy to dynamically scale Qdrant, so you could go from 1 to 1B vectors seamlessly.
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* **Various similarity search scenarios** - we want to support more similarity search scenarios, e.g. sparse search, grouping requests, diverse search, etc.
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## Milestones
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* :atom_symbol: Quantization support
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* [ ] Scalar quantization f32 -> u8 (4x compression)
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* [ ] Advanced quantization (8x and 16x compression)
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* [ ] Support for binary vectors
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---
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* :arrow_double_up: Scalability
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* [ ] Automatic replication factor adjustment
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* [ ] Automatic shard distribution on cluster scaling
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* [ ] Repartitioning support
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---
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* :eyes: Search scenarios
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* [ ] Diversity search - search for vectors that are different from each other
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* [ ] Sparse vectors search - search for vectors with a small number of non-zero values
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* [ ] Grouping requests - search within payload-defined groups
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* [ ] Different scenarios for recommendation API
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---
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* Additionally
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* [ ] Extend full-text filtering support
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* [ ] Support for phrase queries
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* [ ] Support for logical operators
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* [ ] Simplify update of collection parameters
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