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Information Retrieval
🔎 Information Retrieval
Search Engines, Indexing, Ranking Algorithms, Query Processing
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RISE: A Rust Library for
Inverted
Index
Search
Engines
🔍
Search Algorithms
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for RISE: A Rust Library for Inverted Index Search Engines
How RAG Actually Finds Answers (Part 2): HNSW, IVF,
BM25
, Hybrid
Search
and
Re-Ranking
| M011 |…
🔍
RAG
pub.towardsai.net
·
6d
6 days ago
Actions for How RAG Actually Finds Answers (Part 2): HNSW, IVF, BM25, Hybrid Search and Re-Ranking | M011 |…
Explore OpenSearch 3.7
🔍
RAG
Content type:
Blog
opensearch.org
·
1d
1 day ago
Actions for Explore OpenSearch 3.7
STORM: Stepwise Token Optimization with Reward-Guided Beam
Search
🔍
Search Algorithms
Content type:
Academic
arxiv.org
·
22h
22 hours ago
Actions for STORM: Stepwise Token Optimization with Reward-Guided Beam Search
Agentic
Search
Models with OpenSearch and
Elasticsearch
🔍
RAG
Content type:
Blog
bonsai.io
·
6d
6 days ago
·
Hacker News
Actions for Agentic Search Models with OpenSearch and Elasticsearch
Measuring Embedding Drift: Why Hybrid
Search
Saves Stale Models.
💬
Prompt Engineering
pub.towardsai.net
·
21h
21 hours ago
Actions for Measuring Embedding Drift: Why Hybrid Search Saves Stale Models.
Quiz: Embeddings and
Vector
Databases With ChromaDB
🔍
RAG
realpython.com
·
1d
1 day ago
Actions for Quiz: Embeddings and Vector Databases With ChromaDB
MUVERA:
Multi-Vector
Retrieval
via Fixed Dimensional Encodings
🔍
Search Algorithms
Content type:
Academic
arxiv.org
·
22h
22 hours ago
Actions for MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings
Show HN: LLM memory without context bleed; 100% precision vs. <10%
vector
search
💬
Prompt Engineering
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
DeytaHQ/khora: Library for creating knowledge repositories from multi-source data and expose a single
query
substrate
🕸️
Graph Databases
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
Detecting Speculative Language in Biomedical Texts using Recurrent Neural Tensor Networks
🔍
Search Algorithms
Content type:
Academic
arxiv.org
·
22h
22 hours ago
Actions for Detecting Speculative Language in Biomedical Texts using Recurrent Neural Tensor Networks
Agentic
search
-
retrieval
, harness, or model?
🔍
Search Algorithms
Content type:
Blog
softwaredoug.com
·
3d
3 days ago
·
Hacker News
Actions for Agentic search - retrieval, harness, or model?
Towards
Retrieving
Interaction Spaces for Agentic
Search
🔍
Search Algorithms
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Towards Retrieving Interaction Spaces for Agentic Search
Aperio: Lightweight
search
engine
in Rust – GBs of data in < 1ms, < 256MB RAM
🔍
Search Algorithms
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
Report on CHIIR 2026 Workshop on Generative AI and Academic
Search
(GAI&AS)
🔍
Search Algorithms
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Report on CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS)
How to
Retrieve
Anything. Fast.
🔍
RAG
pub.towardsai.net
·
4d
4 days ago
Actions for How to Retrieve Anything. Fast.
Representation Curriculum: Stagewise Training for Robust
Ranking
and Allocation
🔍
Search Algorithms
Content type:
Academic
arxiv.org
·
22h
22 hours ago
Actions for Representation Curriculum: Stagewise Training for Robust Ranking and Allocation
Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis
🔍
RAG
Content type:
Academic
arxiv.org
·
22h
22 hours ago
Actions for Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis
Beyond Basic RAG (Part 3): Agentic RAG, CRAG, Self-RAG and GraphRAG Explained | M012 | Mehul Ligade
🔍
RAG
pub.towardsai.net
·
4d
4 days ago
Actions for Beyond Basic RAG (Part 3): Agentic RAG, CRAG, Self-RAG and GraphRAG Explained | M012 | Mehul Ligade
Decoupling
Semantics
and Logic: A Training-Free Coarse-to-Fine Pipeline for Video
Retrieval-Augmented
Generation
🔍
RAG
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Decoupling Semantics and Logic: A Training-Free Coarse-to-Fine Pipeline for Video Retrieval-Augmented Generation
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