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Inverted Indexes, B+ Trees, Query Optimization, Full-text Search
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142
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Show HN: YourMemory, agentic memory is a pruning problem, not a hoarding problem
🔍
Information Retrieval
Content type:
Discussion
yourmemoryai.vercel.app
·
6d
6 days ago
·
Hacker News
Actions for Show HN: YourMemory, agentic memory is a pruning problem, not a hoarding problem
When More Documents Hurt RAG: Mitigating
Vector
Search
Dilution with Domain-Scoped, Model-Agnostic Retrieval
📌
Embedding Retrieval
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for When More Documents Hurt RAG: Mitigating Vector Search Dilution with Domain-Scoped, Model-Agnostic Retrieval
Zero-Downtime Modernization: Norwegian Labor and Welfare Administration’s Path to Open Source Observability with OpenSearch
🔎
Inverted Index
opensearch.org
·
2d
2 days ago
Actions for Zero-Downtime Modernization: Norwegian Labor and Welfare Administration’s Path to Open Source Observability with OpenSearch
The State Layer Behind Every Good AI Agent
📌
Embedding Retrieval
Content type:
Blog
pingcap.com
·
5d
5 days ago
·
Cited by 1 article
Actions for The State Layer Behind Every Good AI Agent
Quantum computing, agentic AI, and the next infrastructure layer in financial services
📌
Embedding Retrieval
Content type:
Blog
elastic.co
·
2d
2 days ago
Actions for Quantum computing, agentic AI, and the next infrastructure layer in financial services
I built a free extension that adds shared folders +
search
across ChatGPT, Claude and Gemini
📌
Embedding Retrieval
foldery.app
·
5d
5 days ago
·
r/chrome_extensions
Actions for I built a free extension that adds shared folders + search across ChatGPT, Claude and Gemini
Enterprises Are Quietly Moving Their AI Back On-Premises. Here Is Why.
📌
Embedding Retrieval
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for Enterprises Are Quietly Moving Their AI Back On-Premises. Here Is Why.
Foragd vs Inoreader vs Feedly: a feed reader comparison
🔎
Inverted Index
foragd.app
·
1d
1 day ago
Actions for Foragd vs Inoreader vs Feedly: a feed reader comparison
meilisearch/meilisearch
v1.46.1
🔍
Information Retrieval
Content type:
Code
github.com
·
4d
4 days ago
Actions for meilisearch/meilisearch v1.46.1
How DocValuesSkippers in
Lucene
10 make range
queries
faster without doubling your storage
🔎
Inverted Index
Content type:
Blog
elastic.co
·
2d
2 days ago
Actions for How DocValuesSkippers in Lucene 10 make range queries faster without doubling your storage
I launched SnapFound, a private screenshot
search
app for iPhone, and would love feedback
🔎
Inverted Index
snapfound.app
·
4d
4 days ago
·
r/SideProject
Actions for I launched SnapFound, a private screenshot search app for iPhone, and would love feedback
OneRetrieval: Unifying Multi-Branch E-commerce Retrieval with an Editable Generative Model
🔎
Inverted Index
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for OneRetrieval: Unifying Multi-Branch E-commerce Retrieval with an Editable Generative Model
Show HN: Lore – LLM proxy for coding agent context and memory management
🐧
Operating Systems
withlore.ai
·
4d
4 days ago
·
Hacker News
Actions for Show HN: Lore – LLM proxy for coding agent context and memory management
Connect Your Redis
index
to AI agents with RedisVL MCP
📌
Embedding Retrieval
Content type:
Blog
redis.io
·
2d
2 days ago
Actions for Connect Your Redis index to AI agents with RedisVL MCP
Made my own writing app. Simple, yet for someone from non-IT background, it's a big personal win.
🔎
Inverted Index
scriptorium.app
·
6d
6 days ago
·
r/SideProject
Actions for Made my own writing app. Simple, yet for someone from non-IT background, it's a big personal win.
Building AI shopping agent using Amazon Bedrock AgentCore Runtime and Amazon OpenSearch Service
📌
Embedding Retrieval
Content type:
Blog
aws.amazon.com
·
2d
2 days ago
Actions for Building AI shopping agent using Amazon Bedrock AgentCore Runtime and Amazon OpenSearch Service
LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks
📌
Embedding Retrieval
Content type:
Blog
Content type:
Discussion
tildalice.io
·
3d
3 days ago
Actions for LangChain vs LlamaIndex 2026: Response Time on 10 RAG Tasks
How Ecolab rebuilt retail intelligence on Databricks and Anthropic Claude
📌
Embedding Retrieval
Content type:
Blog
databricks.com
·
2d
2 days ago
Actions for How Ecolab rebuilt retail intelligence on Databricks and Anthropic Claude
Less-relevant results
Emmanuel Gatwech
📌
Embedding Retrieval
emmanuelgatwech.is-a.dev
·
2d
2 days ago
Actions for Emmanuel Gatwech
HNSW vs LSH: How
Elasticsearch
hits 0.99 recall@10 at 15,000 QPS — and what it costs
🗂️
Vector Indexes
Content type:
Blog
elastic.co
·
4d
4 days ago
·
Cited by 1 article
Actions for HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs
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