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🔍 Search Indexing
Inverted Indexes, B+ Trees, Query Optimization, Full-text Search
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140
posts in
11.7
ms
Best practices for building a modern app with
vector
search
🔎
Inverted Index
Content type:
Blog
elastic.co
·
2d
2 days ago
Actions for Best practices for building a modern app with vector search
Agentic
Search
Models with
OpenSearch
and
Elasticsearch
📌
Embedding Retrieval
Content type:
Blog
bonsai.io
·
5d
5 days ago
·
Hacker News
Actions for Agentic Search Models with OpenSearch and Elasticsearch
Explore
OpenSearch
3.7
📡
OpenTelemetry
Content type:
Blog
opensearch.org
·
23h
23 hours ago
Actions for Explore OpenSearch 3.7
STORM: Stepwise Token
Optimization
with Reward-Guided Beam
Search
🔍
Information Retrieval
Content type:
Academic
arxiv.org
·
17h
17 hours ago
Actions for STORM: Stepwise Token Optimization with Reward-Guided Beam Search
Managing
Elasticsearch
Reindex at Scale: Performance, Reliability, and Observability
🔎
Inverted Index
Content type:
Blog
blog.palantir.com
·
2d
2 days ago
Actions for Managing Elasticsearch Reindex at Scale: Performance, Reliability, and Observability
How Document-Level Security Works in
OpenSearch
(And Why It Matters in Enterprise Systems)
🌐
Distributed Systems
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for How Document-Level Security Works in OpenSearch (And Why It Matters in Enterprise Systems)
hashwnath/KMCP:
Open-source
MCP server for your docs. Zero LLM at
query
time. docker compose up and go.
📌
Embedding Retrieval
Content type:
Code
github.com
·
21h
21 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.
How to check username availability at scale with
Bloom
filters
🌸
Bloom Filters
Content type:
Blog
blog.logrocket.com
·
2d
2 days ago
Actions for How to check username availability at scale with Bloom filters
Bloom
Filter
Trick Reduces 170 Object-Storage Reads to One (2.6s → 89ms)
🌸
Bloom Filters
Content type:
Blog
openobserve.ai
·
2d
2 days ago
·
Hacker News
Actions for Bloom Filter Trick Reduces 170 Object-Storage Reads to One (2.6s → 89ms)
alarmz/recoll: Recoll for Windows — Free desktop
full-text
search
installer (64-bit). Prebuilt Qt6 GUI binaries, winget/scoop packages.
🔧
Hardware Hacking
Content type:
Code
github.com
·
17h
17 hours ago
·
Hacker News
Actions for alarmz/recoll: Recoll for Windows — Free desktop full-text search installer (64-bit). Prebuilt Qt6 GUI binaries, winget/scoop packages.
Location: Charleston, SC Remote: Yes Willing to relocate: Yes Technologies: Ruby...
📡
OpenTelemetry
Content type:
Discussion
news.ycombinator.com
·
5d
5 days ago
·
Hacker News
Actions for Location: Charleston, SC Remote: Yes Willing to relocate: Yes Technologies: Ruby...
TimescaleDB 2.27: Broader
Vectorized
Execution, Up to 160x More Efficient UPDATE/DELETE, and Smarter UPSERT Pruning
🌸
Bloom Filters
Content type:
Blog
tigerdata.com
·
1d
1 day ago
Actions for TimescaleDB 2.27: Broader Vectorized Execution, Up to 160x More Efficient UPDATE/DELETE, and Smarter UPSERT Pruning
How to Build an Agentic RAG with RubyLLM and Rails
🎯
Vector Search
Content type:
Blog
panasiti.me
·
13h
13 hours ago
·
Hacker News
Actions for How to Build an Agentic RAG with RubyLLM and Rails
Meilisearch
error after upgrading Wanderer
🔎
Inverted Index
forum.yunohost.org
·
1d
1 day ago
Actions for Meilisearch error after upgrading Wanderer
MongoDB as a
Vector
Database for AI Agents-MongoDB
🗄️
Databases
foojay.io
·
6d
6 days ago
Actions for MongoDB as a Vector Database for AI Agents-MongoDB
meilisearch/meilisearch
v1.46.1
🔍
Information Retrieval
Content type:
Code
github.com
·
1d
1 day ago
Actions for meilisearch/meilisearch v1.46.1
Redis for Agent Memory
🎯
Vector Search
Content type:
Blog
rephrase-it.com
·
4d
4 days ago
Actions for Redis for Agent Memory
Build an AI-Powered Equipment Repair Assistant Using Amazon Bedrock AgentCore
🎯
Vector Search
Content type:
Blog
aws.amazon.com
·
6h
6 hours ago
Actions for Build an AI-Powered Equipment Repair Assistant Using Amazon Bedrock AgentCore
New comment by curiouser12 in "Ask HN: Who wants to be hired? (June 2026)"
🔎
Inverted Index
drive.google.com
·
2d
2 days ago
·
Hacker News
Actions for New comment by curiouser12 in "Ask HN: Who wants to be hired? (June 2026)"
Understanding HNSW: The
Engine
Behind Fast
Vector
Search
🎯
Vector Search
chimchim89.github.io
·
3d
3 days ago
Actions for Understanding HNSW: The Engine Behind Fast Vector Search
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