Qdrant (@qdrant_engine) / X

Qdrant

2,390 posts

Qdrant

@qdrant_engine

High-performance Rust-based vector search engine. discord.com/invite/qdrant

Joined December 2020

Pinned
Qdrant
@qdrant_engine
Mar 12
Most vector databases treat retrieval as a single operation. That's the wrong abstraction. Storing embeddings and returning nearest neighbors is a solved problem. The hard problem is what happens next. We solve it through composable vector search, built in Rust. Today, led by
00:00
Qdrant
@qdrant_engine
55m
Qdrant 1.18 introduced TurboQuant, a quantization technique that speeds up vector search by keeping a 4-bit compressed copy of your vectors in memory while storing the original float32 vectors on disk for rescoring. Great recall, but two copies of every vector. We just released
Qdrant
@qdrant_engine
20h
Can your Slack remember what your team already knows? Join Qdrant and @cognee_ in Berlin for an evening of building AI memory that goes beyond context windows. At this hands-on hack night, you’ll build a memory layer that turns your Slack workspace into something agents can
Give Your Slack a Memory: A Cognee and Qdrant Hack Night · Luma
From luma.com
Qdrant
@qdrant_engine
Aug 5
(1/6) Qdrant 1.19 is now here! Below are the main updates 🧵 Full release blog:
Qdrant 1.19 - TurboQuant Datatype & Memory Tiers - Qdrant
From qdrant.tech
Qdrant
@qdrant_engine
Aug 5
Why does your RAG agent get worse over time? Join @DylanCouzon and Rishabh from FutureAGI tomorrow as they build, debug, and optimize a RAG agent live, covering embedding migrations, deduplication, reranking, and evaluation to measure what actually improves retrieval quality.
Why Did My RAG Agent Get Worse? A Live Autopsy · Zoom · Luma
From luma.com