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Information Retrieval
🔍 Information Retrieval
search ranking, BM25, dense retrieval, semantic search
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304
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ms
Weaviate vs.
OpenSearch
vs. pgvector
🗂️
RAG Systems
digitalocean.com
·
6d
6 days ago
Actions for Weaviate vs. OpenSearch vs. pgvector
HNSW
vs LSH: How
Elasticsearch
hits 0.99 recall@10 at 15,000 QPS — and what it costs
📇
Vector Indexing
Content type:
Blog
elastic.co
·
1d
1 day ago
Actions for HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs
Explore
OpenSearch
3.7
🎯
Retrieval Systems
Content type:
Blog
opensearch.org
·
14h
14 hours ago
Actions for Explore OpenSearch 3.7
STORM: Stepwise Token Optimization with Reward-Guided Beam
Search
📊
Retrieval Evaluation
Content type:
Academic
arxiv.org
·
8h
8 hours ago
Actions for STORM: Stepwise Token Optimization with Reward-Guided Beam Search
Managing
Elasticsearch
Reindex at Scale: Performance, Reliability, and Observability
🎯
Retrieval Systems
Content type:
Blog
blog.palantir.com
·
1d
1 day ago
Actions for Managing Elasticsearch Reindex at Scale: Performance, Reliability, and Observability
Understanding
HNSW
: The Engine Behind Fast
Vector
Search
📇
Vector Indexing
chimchim89.github.io
·
3d
3 days ago
Actions for Understanding HNSW: The Engine Behind Fast Vector Search
hashwnath/KMCP:
Open-source
MCP server for your docs. Zero LLM at
query
time. docker compose up and go.
🎯
Retrieval Systems
Content type:
Code
github.com
·
11h
11 hours ago
·
Hacker News
Actions for hashwnath/KMCP: Open-source MCP server for your docs. Zero LLM at query time. docker compose up and go.
Private
Information
Retrieval
: Share Conversions vs. Decoding Polynomials
⚡
Speculative Decoding
eprint.iacr.org
·
1d
1 day ago
Actions for Private Information Retrieval: Share Conversions vs. Decoding Polynomials
Amazon
OpenSearch
Service: Mechanisms to secure your domain
🛡️
Content Moderation
Content type:
Blog
aws.amazon.com
·
6d
6 days ago
Actions for Amazon OpenSearch Service: Mechanisms to secure your domain
HNSW-MS
: Hierarchical Graph
Indexing
Enables Accurate Real-Time Mass Spectral Similarity
Search
at Repository Scale
📊
Vector DBs
Content type:
Academic
biorxiv.org
·
2d
2 days ago
Actions for HNSW-MS: Hierarchical Graph Indexing Enables Accurate Real-Time Mass Spectral Similarity Search at Repository Scale
New comment by yorktanaka2024 in "Ask
HN
: Who wants to be hired? (June 2026)"
🔍
RAG
Content type:
Discussion
news.ycombinator.com
·
18h
18 hours ago
·
Hacker News
Actions for New comment by yorktanaka2024 in "Ask HN: Who wants to be hired? (June 2026)"
An ode to self-optimizing
query
plans
📇
Vector Indexing
jpountz.github.io
·
6d
6 days ago
·
Lobsters
Actions for An ode to self-optimizing query plans
I built a free extension that adds shared folders +
search
across ChatGPT, Claude and Gemini
🔎
Semantic Search
foldery.app
·
2d
2 days ago
·
r/chrome_extensions
Actions for I built a free extension that adds shared folders + search across ChatGPT, Claude and Gemini
Elastic
brings AI-driven incident investigation to Kubernetes and observability tools
🤖
AI Agents
helpnetsecurity.com
·
22h
22 hours ago
Actions for Elastic brings AI-driven incident investigation to Kubernetes and observability tools
Agentic
Search
Models with
OpenSearch
and
Elasticsearch
🎯
Retrieval Systems
Content type:
Blog
bonsai.io
·
5d
5 days ago
·
Hacker News
Actions for Agentic Search Models with OpenSearch and Elasticsearch
Yay 12.6 AUR Helper Lands After Six Months with Smarter
Search
📊
Retrieval Evaluation
linuxiac.com
·
2d
2 days ago
Actions for Yay 12.6 AUR Helper Lands After Six Months with Smarter Search
How Document-Level Security Works in
OpenSearch
(And Why It Matters in Enterprise Systems)
🛡️
Content Moderation
Content type:
Blog
medium.com
·
4d
4 days ago
Actions for How Document-Level Security Works in OpenSearch (And Why It Matters in Enterprise Systems)
Best practices for building a modern app with
vector
search
🗂️
RAG Systems
Content type:
Blog
elastic.co
·
2d
2 days ago
Actions for Best practices for building a modern app with vector search
How to Build an Agentic RAG with RubyLLM and Rails
🎯
Retrieval Systems
Content type:
Blog
panasiti.me
·
4h
4 hours ago
·
Hacker News
Actions for How to Build an Agentic RAG with RubyLLM and Rails
Building
Semantic
Search
with Transformers.js and Sentence Embeddings
🗂️
RAG Systems
machinelearningmastery.com
·
5d
5 days ago
Actions for Building Semantic Search with Transformers.js and Sentence Embeddings
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