Главная
Study mode:
on
1
Intro
2
Qdrant
3
Evolution of Search
4
Neural Search
5
Similarity Models
6
Vector Search Engine
7
Example
8
Additional Data
9
Implementation
10
Index
11
A N Search
12
Hnsw
13
payload filters
14
distance metrics
15
similarity function
16
naive product
17
CMD
18
Static vs Dynamic
19
CMD code
20
DOT benchmark
21
Architecture
22
Concurrent Programming
23
Mutex RWLock
24
Deadlocks
25
Deadlock Detection
26
Distribute
27
Raft Consensus
28
Conclusion
Description:
Explore the world of vector search engines in this 45-minute conference talk from Rust Linz March 2023. Delve into the capabilities of these emerging technologies, examine their inner workings, and discover why Rust is an ideal programming language for their development. Learn about neural search, similarity models, and vector search engine implementation from Arnaud Gourlay, a software engineer at Qdrant. Gain insights into concurrent programming challenges, distributed systems, and Raft consensus while understanding the evolution of search technologies and their practical applications.

Qdrant - A Vector Search Engine in Rust

Rust
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