🔍 Information Retrieval - linearizable · Scour

vlwkaos/ir: Fast local markdown search engine (with possible CJK support) 🧠Query Planners

AgentIR: A Workload-Adaptive Cascade Retrieval Substrate for Long-Term Conversational Memory 📏ANN Benchmarks

London Information Retrieval & AI Meetup [June 2026] 📇Vector Indexing

Implementing Hybrid Semantic-Lexical Search in RAG 🎯Vector Search

machinelearningmastery.com·2d

Your AI agents need a terminal, not just a vector database 🧠Query Planners

venturebeat.com·5d

How do you separate structural context cost from execution context in agentic systems? We tried one approach, published the results — curious what experienced e... 📊Columnar Execution

zenodo.org·2d·r/ExperiencedDevs

Streamlined Symmetric Private Information Retrieval via Rényi Divergence 🌸Bloom Filters

eprint.iacr.org·2d

How to build a production RAG pipeline in Python (without a vector database) 🧠Query Planners

ayinedjimi-consultants.fr·6d·DEV

Developing an Intelligent Job Recommendation System Using Semantic Retrieval and Explainable AI Techniques 🧠Query Planners

Build an enterprise RAG system with OGX 📇Indexing Strategies

developers.redhat.com·2d

From Learning Resources to Competencies: LLM-Based Tagging with Evidence and Graph Constraints 🎯BM25

Joint Optimization of Relevance and Engagement in Multi-Task Ranking for E-Commerce with Efficient LLM Supervision 🎯BM25

Will AI be overconfident about academic research findings when reliant on abstracts? (v1) 🎯BM25

Built a Sentiment Analysis Web App – My First Full-Stack ML Project 🎯Embedding Models

·1d·DEV

RE-TRIANGLE: Does TRIANGLE Enable Multimodal Alignment Beyond Cosine Similarity in Retrieval? 🔍SPLADE

From TF-IDF to Transformers: A Comparative and Ensemble Approach to Sentiment Classification 🎯Embedding Models

A Systematic Evaluation of Retrieval-Augmented Generation and Language Models for Space Operations ⚙️Adaptive Execution

Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking 💰Cost-Based Optimization

Benchmarking Patent Embeddings: A Multi-Task Evaluation of 22 Models Across Retrieval, Classification, and Clustering 📌Embedding Retrieval

LLM Retrieval for Stable and Predictable Ad Recommendations 🧠Query Planners

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