A new RAG approach for EDA documentation groups related artifacts into functional units and trains an encoder to align queries with them, combining unit and chunk retrieval to handle scattered, tightly coupled technical…

#RAG #EDADocs #DocQA #InformationRetrieval
https://arxiv.org/abs/2610.09361

MDKeyChunker asks whether one LLM call per chunk for metadata beats Markdown's free structure in RAG retrieval, testing it with qwen2.5:7b across BM25, dense, and hybrid setups on Qasper and FreshStack datasets. The…

#RAG #Markdown #LLM #InformationRetrieval
https://arxiv.org/abs/2603.23533

A new benchmark, ScholarCatalyst, uses annotations from 184 lead authors across 207 CS papers to evaluate how well AI agents retrieve prior work that inspired completed research projects. The task tests…

#OpenSourceAI #AIResearch #InformationRetrieval #Benchmarking
https://arxiv.org/abs/2610.02202

Keep versioned labels and failed queries. Define the metric and cutoff so reviewers can trace each result to retrieved evidence.
Deliverables: pharosengineeringnotes.wordpress.com/2026/09/18/r...

#RAG #AIEvaluation #InformationRetrieval

Your RAG score needs its test set attached.
Pharos Production's RAG delivery includes retrieval evaluation sets. Ask for the query-set version and corpus snapshot behind the score.
pharosproduction.com

#RAG #AIEvaluation #InformationRetrieval

CLEF'26 starting in Jena!

Will be great to see all the tasks people have been working on over the year. I'm sure there will be plenty of inspiration for new visions for the future of IR -> desires-conf.org/2027/

#CLEF2026 #InformationRetrieval #NLP
#DESIRES2027

Explaining retrieval-augmented generation #AI #MachineLearning #NaturalLanguageProcessing #RAG #InformationRetrieval

Explaining retrieval-augmented generation #AI #MachineLearning #NaturalLanguageProcessing #RAG #InformationRetrieval

Leaving SEASON after 3 days of discussing the current state of search engines and their effects on society.

3 months until the DESIRES abstract deadline. Time to think about where search might go next 🚀🚀🚀

desires-conf.org/2027

#DESIRES2027 #InformationRetrieval #Search #GenerativeAI #AgenticAI

There’s more to a search query than keywords vs. natural language.

A practical taxonomy of 9 dimensions for thinking about search queries, and what they mean for search systems.

#InformationRetrieval #SearchTech

www.searchplex.net/blog/types-o...