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In this scenario posting list have to share all the same attributes as each element inside the list.

In IVF you can start checking conditions only in the final bucket. There are no guarantees if the bucket has any acceptable value, and there are no procedures to find the bucket wh…

IVF, unfortunately, is barely compatible with filtered search. It have to rely on post-filtering and retrieve more and more candidates if the result set is not big enough. If the q…

https://qdrant.tech/articles/dedicated-service/ - we have some arguments on this

This article contains a lot of inaccuracies. Based on your statements, like > Qdrant stores both the vectors and the metadata in a sqlite database. It looks like you have benchmark…

With a few optimization tricks, TL;DR: - ONNX inference in Rust - Embeddings cache & lookup - Parallel & Batch requests - hybrid search with full-text filtering + vector re-scoring…

I would say that text text and vector search are orthogonal. Some scenarios are better with one, others with combination. But fitting vector search into the interface designed for …

Benchmark is open source - https://github.com/qdrant/vector-db-benchmark You are welcome to fork it and make your own measurements, if you suspect something. Benchmarks like https:…

> Please expand on how you are defining full text search distinctly from sparse search to continue the discussion In addition to the indexing algorithm, there is the tokenizer, whi…

> There are a few arguments why adding sparse search doesn't require too much extra specialization Full-text search != sparse search, that's a naive oversimplification. Btw, sparse…

Proposed architecture doesn't limit you to use self-hosted transformers only, you can use OpenAI just as easily. And you don't need a to install a "module" for that

The latency of the combination of parallel systems is equal to the slowest component. And obviously, specialized tools will be faster than a component of a multi-tool system cause …

There is more relevant benchmark of vector search engines end-to-end, not just algorithms: https://qdrant.tech/benchmarks/

PML is a great collection of implementations, but not the best framework. Also you can use PML with Quaterion: https://github.com/qdrant/quaterion/blob/master/examples/tra...

Starting from 0.5.0 finetuner is no longer an open-source. > From 0.5.0, Finetuner computing is hosted on Jina Cloud. The last local version is 0.4.1, one can install it via pip or…

It is definitely possible to do, if you have a proper training set. You would need to somehow give model a signal, that you are interesting in e.g. arguing style specifically, and …

The idea is to fine-tune model, which can be used to produce embeddings required for Qdrant. Our design approach is to make things as modular as possible, so you can use framework …