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🗄️ Vector Databases
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vector search, embeddings, Qdrant, semantic search
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6124
posts in
27.7
ms
Self-Aware Vector Embeddings for Retrieval-Augmented Generation: A
Neuroscience-Inspired
Framework for Temporal, Confidence-Weighted, and
Relational
Knowledge
🤖
Transformers
arxiv.org
·
2d
AI Database Landscape in 2026: Vector,
ML-in-DB
, LLM-Augmented,
Predictive
💬
LLMs
aito.ai
·
3d
·
Hacker News
How to Build a Self-Learning
RAG
System with Knowledge
Reflection
🧠
LLM
freecodecamp.org
·
13h
nambok/mentedb
: A cognition aware database engine for AI agent memory. Purpose built in Rust with WAL, HNSW, knowledge graphs, and speculative context pre assembly. Not a wrapper, a ground up storage engine that thinks.
🦀
Rust
github.com
·
14h
·
Hacker News
Vec1
:
Vec1
Vector Extension
🦀
Rust
sqlite.org
·
1d
·
Hacker News
RAG
as
Similarity
Engine
🤖
AI
necromant2005.github.io
·
6d
·
Hacker News
RAG pipelines,
leaking
PII
into vector databases and nobody's talking about it
🦀
Rust
comply-tech.co.uk
·
1d
·
Hacker News
Self-hosted
agent
pipeline
that turns Google Trends into blog posts
📜
Blogroll
hyperscale.top
·
2d
·
Hacker News
RAG
in Go: A
Vulnerability
Research Tool
🦀
Rust
ardanlabs.com
·
5d
·
Hacker News
Adding Hybrid Search to Your Application (In
Diagrams
) -
Amgix
- Open-Source Hybrid Search System
✍️
Prompt Engineering
amgix.io
·
4d
·
Hacker News
Announcing
Vector
Space Day 2026 in San Francisco
📊
MATLAB
qdrant.tech
·
4d
Algorithm
Selection
with Zero Domain Knowledge via Text
Embeddings
🧠
Machine Learning
arxiv.org
·
2d
drop AI features into your app with two
function
calls
🤖
AI
modular.run
·
5d
·
Hacker News
Designing
Memory for AI Agents: Inside
Linkedin
’s Cognitive Memory Agent
🕵️
LLM Agents
infoq.com
·
4d
Kyohansha
🔥
PyTorch
producthunt.com
·
3d
Large-Scale Data
Parallelization
of Product Quantization and Inverted Indexing Using
Dask
📐
Linear Algebra
arxiv.org
·
1d
Show HN:
XTrace
– Encrypted vector DB (search embeddings without
exposing
them)
🤖
AI
github.com
·
2d
·
Hacker News
Beyond
N-gram
: Data-Aware
X-GRAM
Extraction for Efficient Embedding
Parameter
Scaling
🧠
LLM
arxiv.org
·
1d
Finding Meaning in Embeddings: Concept
Separation
Curves
💬
LLMs
arxiv.org
·
1d
Coverage, Not
Averages
: Semantic
Stratification
for Trustworthy Retrieval Evaluation
💬
LLMs
arxiv.org
·
2d
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