Question Answering with LangChain and Qdrant without boilerplateBuilding applications with Large Language Models don’t have to be complicated. A lot has been going on recently to simplify the development, so you can utilize already pre-trained models and support even complex pipelines with a few lines of code. La...Jan 31, 2023·1 min read
How many layers to fine-tune?Model fine-tuning allows you to improve the quality of the pre-trained models with just a fraction of the resources spent on training the original model. But there is a trade-off between the number of layers you tune and the precision you get. Using ...Aug 31, 2022·1 min read
Benchmarking Vector Search EnginesAs an Open Source vector search engine, we are often compared to the competitors and asked about our performance vs the other tools. But the answer was never simple, as the world of vector databases lacked a unified open benchmark that would show the...Aug 23, 2022·2 min read
"Vector search and applications" by Andrey Vasnetsov, CTO at QdrantAndrey Vasnetsov, Co-founder and CTO at Qdrant has shared about vector search and applications with Learn NLP Academy. The video record of the discussion is available on YouTube by this link 🔗 He covered the following topics: Qdrant search engine ...Aug 10, 2022·1 min read
v0.9.0 update of the Qdrant engine went liveQdrant has released the new version vector similarity search engine - v.0.9.0. It features the dynamic cluster scaling capabilities. Now Qdrant is more flexible with cluster deployment, allowing to move shards between nodes and remove nodes from the ...Aug 8, 2022·1 min read
Introducing the Quaterion: a framework for fine-tuning similarity learning modelsQdrant team shared the result of the work they’ve been into during the last months - Quaterion. It is a framework for fine-tuning similarity learning models that streamlines the training process to make it significantly faster and cost-efficient. To ...Jun 30, 2022·1 min read
