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🗄️ Vector Databases
embeddings, Pinecone, Qdrant, similarity search
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186712
posts in
26.2
ms
I built PII masking and semantic search directly into
Polars
DataFrames
🧠
LLMs
omna.dev
·
1d
·
Hacker News
Gte-go
– my
over-optimized
embedding model
🧠
LLMs
rcarmo.github.io
·
3d
·
Hacker News
When AI Agent Memory
Outgrows
SQLite
: How to Tell, and What to Move to Next
💾
SQLite
pingcap.com
·
6h
Qdrant
Cloud launches high-performance vector database features for AI
workloads
🕸️
Distributed Systems
siliconangle.com
·
2d
I made my C++
vector
search engine 16x faster by changing data
layout
, not the algorithm
⚙️
MLOps
dubeykartikay.com
·
5d
·
Hacker News
,
r/cpp
,
r/programming
Qdrant
boosts performance,
reliability
to meet AI needs
🤖
AI Engineering
techtarget.com
·
1d
Possible 2026: AI is marketing’s
Stradivarius
. But ‘the
violin
can’t play itself.’
🤖
AI Engineering
thecurrent.com
·
14h
Diagnosing
protein
sequence
search in the era of language models
🧠
LLMs
biorxiv.org
·
5h
GCC
16.1 released
🗣️
New Languages
lwn.net
·
11h
·
Hacker News
Transforming
Video Content into Structured
SOPs
Using Graph-based RAG
📚
RAG
techcommunity.microsoft.com
·
1d
Blog/2026-04-27/Fuzzy
Wiki
Search
📚
RAG
wiki.roshangeorge.dev
·
3d
Why
RAG
Systems
Fail
in Production
📚
RAG
digitalocean.com
·
1d
Ubuntu Will Get
Opt-In
"
Thoughtful
AI Integration" In Upcoming Releases
🤖
AI Engineering
techpowerup.com
·
19h
Show HN: Local RAG Pipeline with
Weaviate
and
Ollama
📚
RAG
storyblok.com
·
3d
·
Hacker News
Spring AI Series
🤖
AI Engineering
baeldung.com
·
1d
GraphRAG
beyond the demo: Lessons from the
trenches
(12 minute read)
🔬
AI Research
medium.com
·
1d
How to Build a Self-Learning
RAG
System with Knowledge
Reflection
📚
RAG
freecodecamp.org
·
6d
Tuna-2
: Pixel Embeddings Beat Vision
Encoders
🔎
AI Interpretability
tuna-ai.org
·
2d
·
Hacker News
Rethinking
Personalization
for the Agent Era, Semantic Recall for Vector Search, and More!
🔬
AI Research
recsys.substack.com
·
6d
·
Substack
How I Created 33,000 Arabic
Lexemes
in
Wikidata
🧠
LLMs
diff.wikimedia.org
·
1d
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