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Information Retrieval
🔎 Information Retrieval
Search Systems, Indexing, Query Processing, Relevance Ranking
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195
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Best practices for building a modern app with
vector
search
🔍
RAG
Content type:
Blog
elastic.co
·
2d
2 days ago
Actions for Best practices for building a modern app with vector search
Knowledge Manifold: A Riemannian Geometric Framework for Semantic Mapping and Geodesic Analysis of Scientific Literature
🔍
RAG
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Knowledge Manifold: A Riemannian Geometric Framework for Semantic Mapping and Geodesic Analysis of Scientific Literature
Redis vs Memorystore: key differences in 2026
🔍
RAG
Content type:
Blog
redis.io
·
8h
8 hours ago
Actions for Redis vs Memorystore: key differences in 2026
On Arithmetic Private
Information
Retrieval
: Why Code-Based PIR (Usually) Fails
📡
Information Theory
eprint.iacr.org
·
1d
1 day ago
Actions for On Arithmetic Private Information Retrieval: Why Code-Based PIR (Usually) Fails
The Clock Said Valid. The World Said Otherwise. *CLAIM-24 update — Self-Correcting
Systems
series*
🔄
Retrieval Practice
Content type:
Code
github.com
·
6d
6 days ago
·
DEV
Actions for The Clock Said Valid. The World Said Otherwise. *CLAIM-24 update — Self-Correcting Systems series*
The Integrity Graph: The Missing Layer In Your AI Visibility Audit via @sejournal, @billhunt
🕸️
Knowledge Graphs
searchenginejournal.com
·
18h
18 hours ago
Actions for The Integrity Graph: The Missing Layer In Your AI Visibility Audit via @sejournal, @billhunt
Explore OpenSearch 3.7
🔍
RAG
Content type:
Blog
opensearch.org
·
1d
1 day ago
Actions for Explore OpenSearch 3.7
MongoDB as a
Vector
Database for AI Agents-MongoDB
🔍
RAG
foojay.io
·
6d
6 days ago
Actions for MongoDB as a Vector Database for AI Agents-MongoDB
Quiz: Embeddings and
Vector
Databases With ChromaDB
🔍
RAG
realpython.com
·
1d
1 day ago
Actions for Quiz: Embeddings and Vector Databases With ChromaDB
Redis for Agent Memory
🔍
RAG
Content type:
Blog
rephrase-it.com
·
5d
5 days ago
Actions for Redis for Agent Memory
When More Documents Hurt RAG: Mitigating
Vector
Search
Dilution with Domain-Scoped, Model-Agnostic
Retrieval
🔍
RAG
Content type:
Academic
arxiv.org
·
4h
4 hours ago
Actions for When More Documents Hurt RAG: Mitigating Vector Search Dilution with Domain-Scoped, Model-Agnostic Retrieval
How to Build an Agentic RAG with RubyLLM and Rails
🔍
RAG
Content type:
Blog
panasiti.me
·
1d
1 day ago
·
Hacker News
Actions for How to Build an Agentic RAG with RubyLLM and Rails
Understanding HNSW: The
Engine
Behind Fast
Vector
Search
🔍
RAG
chimchim89.github.io
·
4d
4 days ago
Actions for Understanding HNSW: The Engine Behind Fast Vector Search
Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX
🔍
RAG
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
Agentic
search
-
retrieval
, harness, or model?
🧠
LLMs
Content type:
Blog
softwaredoug.com
·
3d
3 days ago
·
Hacker News
Actions for Agentic search - retrieval, harness, or model?
Private
Information
Retrieval
: Share Conversions vs. Decoding Polynomials
🔍
RAG
eprint.iacr.org
·
2d
2 days ago
Actions for Private Information Retrieval: Share Conversions vs. Decoding Polynomials
Show HN: LLM memory without context bleed; 100% precision vs. <10%
vector
search
🧠
LLMs
tenureai.dev
·
5d
5 days ago
·
Hacker News
,
Hacker News
Actions for Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search
A PubMed-Scale Dataset of Structured Biomedical Abstracts
🔍
RAG
Content type:
Academic
arxiv.org
·
4h
4 hours ago
Actions for A PubMed-Scale Dataset of Structured Biomedical Abstracts
Ontologies for the Agentic Web
🧠
LLMs
Content type:
Blog
wordlift.io
·
5d
5 days ago
Actions for Ontologies for the Agentic Web
DeytaHQ/khora: Library for creating knowledge repositories from multi-source data and expose a single
query
substrate
🔍
RAG
Content type:
Code
github.com
·
1d
1 day ago
·
Hacker News
Actions for DeytaHQ/khora: Library for creating knowledge repositories from multi-source data and expose a single query substrate
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