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39
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ms
Aperio: Lightweight
search
engine
in Rust – GBs of data in < 1ms, < 256MB RAM
🔍
Search Indexing
Content type:
Code
github.com
·
5d
5 days ago
·
Hacker News
,
r/opensource
Actions for Aperio: Lightweight search engine in Rust – GBs of data in < 1ms, < 256MB RAM
Best practices for building a modern app with vector
search
🔍
Search
Content type:
Blog
elastic.co
·
2d
2 days ago
Actions for Best practices for building a modern app with vector search
STORM: Stepwise Token Optimization with Reward-Guided Beam
Search
🔍
Information Retrieval
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for STORM: Stepwise Token Optimization with Reward-Guided Beam Search
Less-relevant results
Agentic
search
- retrieval, harness, or model?
🔍
Information Retrieval
Content type:
Blog
softwaredoug.com
·
3d
3 days ago
·
Hacker News
Actions for Agentic search - retrieval, harness, or model?
LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks
🗄️
Vector Databases
Content type:
Blog
Content type:
Discussion
tildalice.io
·
17h
17 hours ago
Actions for LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks
OWASP Dependency-Track 5.0 Is Now Generally Available
📡
Observability
Content type:
Blog
owasp.org
·
2d
2 days ago
·
Hacker News
Actions for OWASP Dependency-Track 5.0 Is Now Generally Available
Bringing a dead Spring Boot project back to life with Claude
☕
Java
tomaytotomato.com
·
5d
5 days ago
·
Hacker News
Actions for Bringing a dead Spring Boot project back to life with Claude
AI context windows: Why context quality beats context size
🔍
Information Retrieval
Content type:
Blog
redis.io
·
10h
10 hours ago
Actions for AI context windows: Why context quality beats context size
Structural motif
search
across the protein universe with Folddisco
🔍
Information Retrieval
Content type:
Academic
nature.com
·
6d
6 days ago
Actions for Structural motif search across the protein universe with Folddisco
SmithDB
💾
Storage Systems
Content type:
News
NULL BITMAP by Justin Jaffray via buttondown.com
·
2d
2 days ago
·
Lobsters
,
Hacker News
Actions for SmithDB
The Read Model Zoo: Projections Beyond Tables - EventSourcingDB
💻
Software Engineering
Content type:
Blog
Content type:
Reference
docs.eventsourcingdb.io
·
3d
3 days ago
·
Hacker News
Actions for The Read Model Zoo: Projections Beyond Tables - EventSourcingDB
Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX
🔍
Search
Content type:
Blog
elastic.co
·
2d
2 days ago
Actions for Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX
RISE: A Rust Library for
Inverted
Index
Search
Engines
🔍
Search Indexing
Content type:
Academic
arxiv.org
·
3d
3 days ago
Actions for RISE: A Rust Library for Inverted Index Search Engines
How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)
🗄️
Vector Databases
buy.polar.sh
·
2d
2 days ago
·
DEV
Actions for How I benchmarked a 100% local RAG pipeline to 9/9 (zero API keys)
Show HN: YourMemory, agentic memory is a pruning problem, not a hoarding problem
🔍
Search
Content type:
Discussion
yourmemoryai.vercel.app
·
3d
3 days ago
·
Hacker News
Actions for Show HN: YourMemory, agentic memory is a pruning problem, not a hoarding problem
HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs
🎯
Vector Search
Content type:
Blog
elastic.co
·
2d
2 days ago
Actions for HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs
Designing Memory for a Minimal Rust Coding Agent, Without a Vector Store
🗄️
Vector Databases
xavierforge.dev
·
5d
5 days ago
·
Hacker News
Actions for Designing Memory for a Minimal Rust Coding Agent, Without a Vector Store
shoo99/paper-rag: A private,
fully-local
RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.
🗄️
Vector Databases
Content type:
Code
github.com
·
5d
5 days ago
·
DEV
Actions for shoo99/paper-rag: A private, fully-local RAG over your own PDFs: BGE-M3 + embedded Qdrant + a local LLM via Ollama. ~150 lines, nothing leaves your machine.
Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering
🔍
Search
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering
How to Defend Against Prompt Injection in Production
💻
Software Engineering
Content type:
Reference
leanpub.com
·
2d
2 days ago
·
DEV
Actions for How to Defend Against Prompt Injection in Production
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