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Vector Databases
🗄️ Vector Databases
Specific
Pinecone, Weaviate, Similarity Search, Embeddings Storage
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🤖
Machine Learning
Tech Xplore
·
2d
2 days ago
Next-generation
database
reduces AI hallucinations and improves accuracy by 78%
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Actions for Next-generation database reduces AI hallucinations and improves accuracy by 78%
🔧
DevOps
infoworld.com
·
2d
2 days ago
AWS aims to take the pain out of RAG with Bedrock Managed Knowledge Base
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Actions for AWS aims to take the pain out of RAG with Bedrock Managed Knowledge Base
💾
SQLite
khaitrang1995.github.io
·
4d
4 days ago
Beyond Account Switchers: Wrapping CLI Agents into a Fully Autonomous Factory
Discussed on
DEV
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Actions for Beyond Account Switchers: Wrapping CLI Agents into a Fully Autonomous Factory
🗄️
Database Internals
manticoresearch.com
·
3d
3 days ago
Manticore
Search
27.1.5
Discussed on
Hacker News
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Actions for Manticore Search 27.1.5
🔨
DIY
coldscars
·
1d
1 day ago
perfect summer day
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Actions for perfect summer day
⚡
SIMD Optimization
Weaviate Blog
·
4d
4 days ago
Import &
Vectorize
Data
with
Weaviate
at Scale
Covers
Model Context Protocol And OAuth
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Actions for Import & Vectorize Data with Weaviate at Scale
📬
Message Queues
Confluent Blog
·
6d
6 days ago
Build vs Buy Streaming for Real-Time RAG: 2026 Guide
Covers
MCP Protocol Specification
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Actions for Build vs Buy Streaming for Real-Time RAG: 2026 Guide
🌐
Network Protocols
medium.com
·
2d
2 days ago
GenAI System Design: A Practical Framework for RAG, Agents, and
Vector
Databases
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Actions for GenAI System Design: A Practical Framework for RAG, Agents, and Vector Databases
🗄️
Database Internals
The New Stack
·
13h
13 hours ago
Your agent wants to
search
like a 2010 quant
Covers
https://research.perplexity.ai/articles/rethinking-search-as-code-generation
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Actions for Your agent wants to search like a 2010 quant
🤖
Machine Learning
ethereal-agents.space
·
5d
5 days ago
Building a Research
Search
Engine for 5,600 AI Papers on a $1 Budget
Discussed on
Hacker News
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Actions for Building a Research Search Engine for 5,600 AI Papers on a $1 Budget
🌳
B-Trees
arxiv.org
·
6d
6 days ago
Directory-Aware Query and Maintenance in
Vector
Databases
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Actions for Directory-Aware Query and Maintenance in Vector Databases
🔧
DevOps
Red Hat Developer Blog
·
3d
3 days ago
Deploy MemPalace MCP Server on Red Hat OpenShift AI
Covers
2 stories
See all stories this covers
including
Model Context Protocol And OAuth
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Actions for Deploy MemPalace MCP Server on Red Hat OpenShift AI
🐍
Python
freecodecamp.org
·
4d
4 days ago
How to Handle Small Context Window Limits in RAG Systems
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Actions for How to Handle Small Context Window Limits in RAG Systems
🗄️
Database Internals
medium.com
·
2d
2 days ago
How
Data
is Stored in a
Vector
Database?
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Actions for How Data is Stored in a Vector Database?
⚡
SIMD Optimization
GitHub
·
2d
2 days ago
Out of Stealth (Kinda)
Covers
uv
Discussed on
Hacker News
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Actions for Out of Stealth (Kinda)
🤖
Machine Learning
turingpost.com
·
6d
6 days ago
FOD#156: What is the harder human-capital problem beneath token capital?
Covers
5 stories
See all stories this covers
including
A frontier without an ecosystem is not stable (5 minute read)
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Actions for FOD#156: What is the harder human-capital problem beneath token capital?
🐍
Python
pypi.org
·
6d
6 days ago
Generate
per-session LoRA adapters in <1s for inference tasks
Discussed on
Hacker News
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Actions for Generate per-session LoRA adapters in <1s for inference tasks
🦆
DuckDB
venturebeat.com
·
4d
4 days ago
AWS enters the context layer race with a graph that learns from agents, not manual curation
Covered by
Metacurity
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Actions for AWS enters the context layer race with a graph that learns from agents, not manual curation
🤖
Machine Learning
halil7hatun.medium.com
·
4d
4 days ago
How AI Agents “Remember” Billions of Things in Milliseconds: Demystifying
HNSW
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Actions for How AI Agents “Remember” Billions of Things in Milliseconds: Demystifying HNSW
⚡
SIMD Optimization
arxiv.org
·
3d
3 days ago
MonaVec: A Training-Free
Embedded
Vector
Search
Kernel for Edge and Offline AI Systems
Covers
Easy way to do both: async <-> sync (crates.io dump loading and parsing example)
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Actions for MonaVec: A Training-Free Embedded Vector Search Kernel for Edge and Offline AI Systems
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