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🎯 Lance
Specific
Columnar Format, Vector Search, Random Access, Versioning
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185204
posts in
20.0
ms
OpenSearch
vs
LanceDB
for Vector Search: Query Cost and Infrastructure
🚀
Milvus
lancedb.com
·
1d
I
Burned
3 Weeks Tuning Vector Search Before
Realizing
the Problem Was the Index, Not the Algorithm
📊
Vectorized Query Execution
github.com
·
4d
·
DEV
From 48 Seconds to 130
Milliseconds
: Vector Search in
Tinybird
🚀
Milvus
tinybird.co
·
21h
CCD-Level
and Load-Aware Thread Orchestration for In-Memory Vector
ANNS
on Multi-Core CPUs
🚀
Milvus
arxiv.org
·
17h
No More
Hallucinated
Citations: A Domain-Specific RAG System with Ollama,
ChromaDB
and AI Agents
🔍
Tantivy
grafpin.com
·
1d
·
DEV
200ms
p99
query latency over 100 billion
vectors
(Sponsor)
🌊
Memory Bandwidth
turbopuffer.com
·
5d
A
true
exponential
!
✨
Gleam
twitter.macworks.dev
·
20h
`
std
::is_
heap
` could be faster
🎰
Treap
quuxplusone.github.io
·
1d
Your RAG can't answer 'why' --
GraphRAG
finds what vector search
misses
🕸️
Weaviate
amazon.co.jp
·
3d
·
DEV
S3
is the perfect place to store data, until you
try
to search it (11 minute read)
📋
Columnar Storage
gordonmurray.ie
·
5d
Building an AI-Powered Operations Assistant with Spring AI and
MongoDB
Atlas
🚀
MLOps
foojay.io
·
5d
Personalized Content Delivery System: Building an AI-powered recommendation engine with
Laravel
and
MongoDB
🕸️
Weaviate
laravel-news.com
·
6d
Update:
Loom
/
Welvet
v0.76 - if anyone’s into Go + local LLMs
🧵
Lightweight Threads
github.com
·
1d
·
r/golang
Local AI for document search —
Informity
AI, runs
entirely
on-device
⚡
Typesense
discuss.privacyguides.net
·
3d
HAGE
:
Harnessing
Agentic Memory via RL-Driven Weighted Graph Evolution
🧠
Memory Models
arxiv.org
·
17h
Cloudflare Launches “
Artifacts
” Beta, Introducing Git-Like
Versioning
for AI Agents
☁️
Cloudflare Workers
infoq.com
·
4d
Topic Is Not Agenda: A
Citation-Community
Audit of Text
Embeddings
🎯
Vector Search
arxiv.org
·
1d
Split CNN Inference on
Networked
Microcontrollers
📱
Edge AI
arxiv.org
·
17h
Beyond "I cannot
fulfill
this request":
Alleviating
Rigid Rejection in LLMs via Label Enhancement
💬
Prompt Engineering
arxiv.org
·
1d
BintzGavin/apastra
: Lightweight prompt versioning, evals, benchmarks, and delivery
🌀
Naiad
github.com
·
4d
·
Hacker News
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