Awesome Search KG

Tag: article

126 items with this tag.

Sep 26, 2026
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Sep 26, 2026
Build an Advanced RAG App: Query Routing
Sep 26, 2026
DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation
Sep 26, 2026
Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing
Sep 26, 2026
LTRR: Learning To Rank Retrievers for LLMs
Sep 26, 2026
Lightweight Query Routing for Adaptive RAG: A Baseline Study on RAGRouter-Bench
Sep 26, 2026
Query Routing: Direct Queries to the Right Source
Sep 26, 2026
RouterRetriever: Routing over a Mixture of Expert Embedding Models
Sep 26, 2026
Sources of Evidence for Vertical Selection
Sep 21, 2026
Jev and the Return of AI/ML Engineering
Sep 20, 2026
Adapting Jev to Your Domain with GEPA
Sep 20, 2026
JEV vs. LLM: Your Software Doesn't Want a Conversation. It Wants a Decision.
Sep 19, 2026
Hev meets Jev
Sep 19, 2026
How to Use Jev - A Practical Guide
Sep 19, 2026
Introducing System One Models & Jev
Sep 19, 2026
Jev - The Most Interesting Model Released This Year
Sep 19, 2026
TypeSafe Cookbook - Re-ranking
Sep 19, 2026
Using TypeSafe's Jev for Evals
Sep 07, 2026
Agentic Memory - OpenSearch Docs
Sep 07, 2026
Uncovering the Bigger Picture: Comprehensive Event Understanding via Diverse News Retrieval
Sep 04, 2026
Do LLM Judges Actually Agree With Us?
Sep 03, 2026
Benchmarking LLM-based Relevance Judgment Methods
Sep 03, 2026
Criteria-Based LLM Relevance Judgments
Sep 01, 2026
Optimize Asymmetric Re-ranking with Algebra
Aug 30, 2026
How Etsy Uses LLMs to Improve Search Relevance
Aug 28, 2026
Relational Reranking: Scoring Search Results with Structured Facts
Aug 28, 2026
Updating a Vector Database Is No Simple Thing
Aug 20, 2026
Automating Search Relevance Assessment at Scale with LLM-as-a-Judge
Aug 10, 2026
Honey, I Shrunk the Embeddings: Matryoshka vs. PCA
Aug 10, 2026
Qdrant 1.19 - Turbo4 Datatype and Memory Tiers
Aug 05, 2026
Beyond Algorithms: Ranking at Scale at Booking.com
Aug 05, 2026
How to Build a 256 TB Search Index
Aug 05, 2026
Paper Review — Ranking at Scale at Booking.com
Aug 05, 2026
Towards Scalable Relevance Engineering
Jul 30, 2026
Improving Search Ranking with Few-Shot Prompting of LLMs
Jul 30, 2026
Improving Zero-Shot Ranking with Vespa Hybrid Search - part two
Jul 30, 2026
Improving Zero-Shot Ranking with Vespa Hybrid Search
Jul 30, 2026
Just brute force your embeddings
Jul 30, 2026
Reciprocal Rank Fusion and Relative Score Fusion: Classic Hybrid Search Techniques
Jul 30, 2026
Survey of the (Hybrid) Search Landscape
Jul 30, 2026
Three mistakes when introducing embeddings and vector search
Jul 29, 2026
Relevance Feedback in Informational Retrieval
Jul 29, 2026
Relevance Feedback in Qdrant
Jul 27, 2026
Fine-Tuning Sparse Embeddings for E-Commerce Search (Parts 1–5)
Jul 27, 2026
Principal Component Analysis: an embedding shrink-ray
Jul 01, 2026
Amazon OpenSearch Service now offers AI-assisted migrations
Jul 01, 2026
How I learned Vespa by thinking in Solr
Jun 29, 2026
Dense Retrieval at Vinted
Jun 29, 2026
Optimizing Vespa Latency with Match-Features at Vinted
Jun 27, 2026
Good Abandonment on Search Results Pages
Jun 27, 2026
How to Really Design Search for a Database
Jun 27, 2026
How to Really Do Autocomplete
Jun 27, 2026
Query Sampling for Relevancy Testing
Jun 27, 2026
Scoped Search: Dangerous, but Sometimes Useful
Jun 27, 2026
Search Kōans
Jun 27, 2026
Search-Log Analysis: The Most Overlooked Opportunity in Web UX Research
Jun 27, 2026
Complex Search-Results Pages Change Search Behavior: The Pinball Pattern
Jun 27, 2026
What is Elasticsearch and Why You Should Use It
Jun 27, 2026
What is OpenSearch and Why You Should Use It
Jun 22, 2026
Answering Compositional Queries with Set-Theoretic Embeddings
Jun 22, 2026
Express Words in a Box - Understanding Box Embedding from the Basics
Jun 22, 2026
Semantic IDs for Recommendation Systems
Jun 19, 2026
ColPali & Elasticsearch: How to Search Complex Documents
Jun 18, 2026
Agentic Search Models with OpenSearch and Elasticsearch
Jun 18, 2026
Before You Fix Your Search, Know What's Actually Broken
Jun 18, 2026
The Scaling Dimensions of Keyword Search
Jun 13, 2026
Learning To Rank (LTR) - Elasticsearch Native
Jun 13, 2026
Search using LTR - Elastic Docs
Jun 13, 2026
We're Bringing Learning to Rank to Elasticsearch
Jun 11, 2026
Hybrid Search and Learning-to-Rank with Metarank
Jun 11, 2026
Learn-to-Rank with OpenSearch and Metarank
Jun 11, 2026
Metarank - Personalized Ranking That Actually Reads Your Clicks
Jun 11, 2026
OpenSearch vs. Elasticsearch in 2025 - What's Changed and What Hasn't
Jun 02, 2026
BlockMax WAND: How Weaviate Achieved 10x Faster Keyword Search
Jun 02, 2026
Faster Retrieval of Top Hits in Elasticsearch with Block-Max WAND
Jun 02, 2026
WAND and Block-Max WAND: Efficient Algorithms for Top-k Document Retrieval
Jun 01, 2026
Choosing a Vector Database for ANN Search at Reddit
Jun 01, 2026
Elasticsearch vs. OpenSearch (2025): The Definitive Showdown
Jun 01, 2026
Exploring Vector Databases with Milvus
Jun 01, 2026
Fine Tuning an Embedding Model for Semantic Search
Jun 01, 2026
From RAG to Search-R1 - Evolving Language Models from Knowledge Retrieval to Autonomous Reasoning
Jun 01, 2026
Milvus - Unlocking Your Data's Hidden Relationships
Jun 01, 2026
Observability for AI Workloads: A New Paradigm for a New Era
Jun 01, 2026
OpenSearch vs. Elasticsearch: A Comprehensive Comparison in 2025
Jun 01, 2026
PCA vs t-SNE: which one should you use for visualization
Jun 01, 2026
PCA vs t-SNE vs UMAP: Visualizing the Invisible in Your Data
Jun 01, 2026
Principal Component Analysis (PCA) In Depth
Jun 01, 2026
SEARCH-R1 - Reinforcement Learning-Enhanced Multi-Turn Search and Reasoning for LLMs
Jun 01, 2026
The Complete Guide to Fine-Tuning Embedding Models: From Theory to Production
Jun 01, 2026
Understanding Principal Component Analysis (PCA)
Jun 01, 2026
t-SNE clearly explained
Jun 01, 2026
T-SNE Explained — Math and Intuition
Jun 01, 2026
t-SNE Explained: Visualising High-Dimensional Data
May 31, 2026
Classic ML to Cope with Dumb LLM Judges
May 31, 2026
Relevance Feedback (Wikipedia)
May 31, 2026
Search Quality Assurance with AI as a Judge
May 31, 2026
This Is What Agentic Retrieval Looks Like
May 31, 2026
What AI Engineers Should Know about Search
May 29, 2026
Agentic Search for Context Engineering
May 26, 2026
From Elasticsearch to Vespa: Rebuilding the Kleinanzeigen Homepage Feed — Part 1
May 26, 2026
When Reranking Becomes a System Boundary
May 21, 2026
Exploring Hierarchical Navigable Small World
May 21, 2026
Late Interaction Models: How to Scale & Optimize in Elasticsearch
May 19, 2026
Hybrid Search Blueprint Series: Semantic Boosting
May 17, 2026
Your Obsidian Vault Is a Knowledge Graph. Here's How to Make It Think (quickly).
May 16, 2026
Adopting Vespa for Recommendation Retrieval at Vinted
May 16, 2026
Building Smarter Search Products: 3 Steps for Evaluating Search Algorithms
May 16, 2026
Common Pitfalls of Onsite Search Experimentation Part 2
May 16, 2026
Common Pitfalls of Onsite Search Experimentation
May 16, 2026
E-commerce Search and Recommendation with Vespa
May 16, 2026
Evaluating the Best AB Testing Metrics for Search
May 16, 2026
Finding the Relevance Cutoff: When to Stop Showing Search Results
May 16, 2026
Fine Tune LLM on a Custom Dataset with QLoRA
May 16, 2026
Fine-Tuning LLMs: From Zero to Hero with Python & Ollama
May 16, 2026
Mirror, Mirror: All About Search Suggestions
May 16, 2026
My Journey Building Elasticsearch for Retail
May 16, 2026
Part 1: Learning to Rank for E-Commerce Search at Otto
May 16, 2026
Putting Search Ranking in Perspective
May 16, 2026
Rethinking Spotify Search
May 16, 2026
Sparse Embeddings: Dense vs Sparse Vectors in Elasticsearch
May 16, 2026
The Influence of TF-IDF Algorithms in E-commerce Search
May 16, 2026
TurboQuant in Qdrant
May 16, 2026
Using Approximate Nearest Neighbor Search to Find Similar Products
May 16, 2026
Using Cross-Encoders as Reranker in Multistage Vector Search
May 15, 2026
Relevance Feedback
May 15, 2026
What is Presentation Bias in Search?

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