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🎯 Qdrant
Specific
Vector Database, Rust Backend, Neural Search, Similarity Matching
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186684
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Embeddings
&
Vector
Search
🎯
Vector Search
taoofmac.com
·
5d
Qdrant
’s AI vector search is faster,
auditable
and more available
📊
Vector Databases
blocksandfiles.com
·
2d
On
pgvectorscale
, and Hybrid Search Without an Elasticsearch
Sidecar
🐘
pgvector
thebuild.com
·
6h
Diagnosing
protein
sequence
search in the era of language models
🔎
Tantivy
biorxiv.org
·
9h
Qdrant
boosts performance,
reliability
to meet AI needs
🏗️
LLM Infrastructure
techtarget.com
·
1d
Vector
Database
📊
Vector Databases
newsletter.systemdesign.one
·
5d
DB-KSVD
: Scalable
Alternating
Optimization for Disentangling High-Dimensional Embedding Spaces
📉
Embeddings Optimization
arxiv.org
·
1d
Qdrant
Cloud launches high-performance vector database features for AI
workloads
🇨🇳
Chinese AI
siliconangle.com
·
2d
FerresDB
is now open-source – A high-performance
vector
database
🚀
LanceDB
github.com
·
3d
·
Hacker News
HNSW
Explained: The Algorithm
Powering
Fast Vector Search
🗂️
Vector Indexes
shaped.ai
·
1d
Preconditioning
Vectors: Making Elasticsearch
VectorDB
Better Binary Quantization work for every vector
🎯
Vector Quantization
elastic.co
·
4d
RAG Vector Distance Calculator |
Cosine
Similarity &
Euclidean
Distance
📏
Vector Similarity
fmtdev.dev
·
1d
·
DEV
pgvector
vs
Pinecone
: You Probably Don't Need a Separate Vector Database
🐘
pgvector
llbbl.blog
·
5d
qdrant/fastembed
: Fast, Accurate, Lightweight Python library to make State of the Art Embedding
🎨
ChromaDB
github.com
·
2d
·
Hacker News
ADE
: Adaptive
Dictionary
Embeddings -- Scaling Multi-Anchor Representations to Large Language Models
🎯
Embedding Models
arxiv.org
·
2d
Icemap/duckdb-vector-index
: A DuckDB extension providing HNSW, IVF, DiskANN, and SPANN vector indexes with FLAT, RaBitQ, PQ, and
ScaNN
quantizers for approximate nearest-neighbor search on ARRAY columns.
🗂️
Vector Indexes
github.com
·
1d
·
Hacker News
TurboQuant
: A First-Principles
Walkthrough
🔬
RaBitQ
taoofmac.com
·
3d
MauroCE/m3serve
: Optimised BAAI/bge-m3 serving with dense + sparse + ColBERT embeddings, async dynamic batching and pipeline GPU inference
📦
Batch Embeddings
github.com
·
3d
·
r/SideProject
Reducing
Redundancy
in Retrieval-Augmented Generation through
Chunk
Filtering
🎯
Retrieval Systems
arxiv.org
·
3d
Improving Robustness of
Tabular
Retrieval via
Representational
Stability
🔍
Information Retrieval
arxiv.org
·
3d
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