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💰 Cost-Based Optimization
Query Planning, Statistics, Selectivity, Cardinality
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4077
posts in
140.0
ms
The Wisdom of Many Queries: Complexity-Diversity
Principle
for Dense
Retriever
Training
arxiv.org
·
23h
🔗
Hybrid Search
Scaling
GraphLLM
with
Bilevel-Optimized
Sparse Querying
arxiv.org
·
23h
🔍
Query Optimization
🔗 The hidden cost of
PostgreSQL
arrays
yellowduck.be
·
14h
🐘
pgvector
Using
Databases
Without Putting Domain
Logic
in Them (2023)
alexkondov.com
·
9h
·
Discuss:
Lobsters
⚙️
Database Internals
Scheduling in a changing world:
Maximizing
throughput with
time-varying
capacity
research.google
·
17h
📅
Resource Scheduling
Small Guide to AI Search
habib.bearblog.dev
·
20h
💫
Search UX
Search -
Laravel
12.x - The PHP Framework For Web
Artisans
laravel.com
·
10h
🔍
Paradedb
The
inverted
index
pattern
jamesg.blog
·
14h
·
Discuss:
Hacker News
📑
Inverted Indexes
N-Grams
and Other
Experiments
dotterrer.bearblog.dev
·
10h
📝
Text Parsing
The LLM
Context
Tax: Best Tips for Tax
Avoidance
nicolasbustamante.com
·
9h
·
Discuss:
Hacker News
💰
Tokenomics
Search Engine
Tooling
joshbeckman.org
·
13h
📊
Search Ranking
Price A/B Testing for
Ecommerce
intelligems.io
·
7h
💰
Search Economics
datavorous/spheni
: An in-memory vector search library in C++ with Python bindings
github.com
·
13h
·
Discuss:
Hacker News
🎨
ChromaDB
Distinguish
between inference scaling and "
larger
tasks use more compute"
lesswrong.com
·
9h
📊
Model Serving Economics
What's new in
ClickStack
. January '26.
clickhouse.com
·
12h
⚡
ClickHouse
Digital
Signal
Processing
With Audio Data
m.youtube.com
·
14h
🗜️
Vector Compression
A data-efficient foundation model for
porous
materials based on expert-guided
supervised
learning
nature.com
·
15h
🕸️
Sparse Embeddings
AnkitNayak-eth/EpsteinFiles-RAG
: A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (
Teyler
).
github.com
·
23h
·
Discuss:
r/LocalLLaMA
🎯
Qdrant
How AI-driven
shopping
discovery changes
product
page optimization
searchengineland.com
·
12h
🆕
New AI
Architectural and Mathematical
Foundations
of Machine Learning: A
Rigorous
Synthesis of Theory, Geometry, and Implementation
chizkidd.github.io
·
14h
·
Discuss:
Hacker News
📊
Vector Databases
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