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The only vector database with a feedback loop.

Technical writing on retrieval, ranking, and agentic AI from the team behind 1B+ queries served.

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Introducing the Shaped Signal Engine

Introducing the Shaped Signal Engine

Your Agent's Retrieval Is Broken. Here's What We Built to Fix It.

Your Agent's Retrieval Is Broken. Here's What We Built to Fix It.

Introducing ShapedQL: The SQL Engine for Search, Feeds, and AI Agents

Introducing ShapedQL: The SQL Engine for Search, Feeds, and AI Agents

All Blogs

Introducing the Shaped Signal Engine

Introducing the Shaped Signal Engine

Your Agent's Retrieval Is Broken. Here's What We Built to Fix It.

Your Agent's Retrieval Is Broken. Here's What We Built to Fix It.

How to Build Netflix's Personalized Homepage: The Attribute Ranking Playbook

How to Build Netflix's Personalized Homepage: The Attribute Ranking Playbook

How to Build Pinterest's "Related Pins": The Multimodal Discovery Playbook

How to Build Spotify's "Discover Weekly": The Hybrid Filtering Playbook

How to Build Spotify's "Discover Weekly": The Hybrid Filtering Playbook

A/B Testing Retrieval: How to Prove Your Agent is Getting Better

A/B Testing Retrieval: How to Prove Your Agent is Getting Better

GitOps for AI Agents: Versioning Your Retrieval Logic

GitOps for AI Agents: Versioning Your Retrieval Logic

Sub-100ms Discovery: Why Retrieval Speed is the Agent Bottleneck

Sub-100ms Discovery: Why Retrieval Speed is the Agent Bottleneck

The Anatomy of Modern Ranking Architectures: Part 5 - The Feedback Loop

The Anatomy of Modern Ranking Architectures: Part 5 - The Feedback Loop

Context Window Optimization: Why Ranking, Not Stuffing, Is the Scaling Law for Agents

Context Window Optimization: Why Ranking, Not Stuffing, Is the Scaling Law for Agents

Multimodal Agents: Extracting Agent Context from Images

Multimodal Agents: Extracting Agent Context from Images

The 'Status Code' Problem: Using AI Views to Enrich Legacy Data

The 'Status Code' Problem: Using AI Views to Enrich Legacy Data

Marketplace Search Architecture: Why Real-Time Eligibility Breaks Every Retrieval Vendor

Marketplace Search Architecture: Why Real-Time Eligibility Breaks Every Retrieval Vendor

Why Your AI Agent Is Always Wrong: Fixing Stale RAG with Real-Time Event Streams

Why Your AI Agent Is Always Wrong: Fixing Stale RAG with Real-Time Event Streams

Stop Being Repetitive: Using 'Exclude Seen' Filters in Agents

Stop Being Repetitive: Using 'Exclude Seen' Filters in Agents

Building Multi-Objective AI Agents: Beyond Semantic Similarity with Value Models (2026 Guide)

Building Multi-Objective AI Agents: Beyond Semantic Similarity with Value Models (2026 Guide)

Building Stateful AI Agents: Why User History Matters in RAG Systems (2026 Guide)

Building Stateful AI Agents: Why User History Matters in RAG Systems (2026 Guide)

How to Build Deterministic AI Agents (And Why Prompt Engineering Isn't Enough)

How to Build Deterministic AI Agents (And Why Prompt Engineering Isn't Enough)

How to Build a TikTok-Style "For You" Feed in Less Than a Day

How to Build a TikTok-Style "For You" Feed in Less Than a Day

The 8 Best Tools for AI Agent Memory & Long-Term Recall (2026 Guide)

The 8 Best Tools for AI Agent Memory & Long-Term Recall (2026 Guide)

Why Pre-Ranking is Essential for Production Agents (And Why Most Teams Get It Wrong)

Why Pre-Ranking is Essential for Production Agents (And Why Most Teams Get It Wrong)

Beyond the Hashing Trick: The Math of Scaling to 100M+ IDs in Production.

Beyond the Hashing Trick: The Math of Scaling to 100M+ IDs in Production.

The Stochastic Parrot: Why Your AI Agent is Only as Good as Its Retrieval

The Stochastic Parrot: Why Your AI Agent is Only as Good as Its Retrieval

How to Deploy a Production Two-Tower Model in Less Than a Day

How to Deploy a Production Two-Tower Model in Less Than a Day

Introducing ShapedQL: The SQL Engine for Search, Feeds, and AI Agents

Introducing ShapedQL: The SQL Engine for Search, Feeds, and AI Agents

Why 2026 is the Year Sportsbooks Move to Session-Aware Architectures

Why 2026 is the Year Sportsbooks Move to Session-Aware Architectures

Why We Built a Database for Relevance (Introducing Shaped 2.0)

Why We Built a Database for Relevance (Introducing Shaped 2.0)

Modeling Behavior As Language: The Next Era of Recommendations

Modeling Behavior As Language: The Next Era of Recommendations

Scaling Laws Beyond LLMs: The Future of Search and Recommendations

Scaling Laws Beyond LLMs: The Future of Search and Recommendations

The Infrastructure of Modern Ranking Systems, Part 1: The Serving Layer - Real-time Ranking at Scale

The Infrastructure of Modern Ranking Systems, Part 1: The Serving Layer - Real-time Ranking at Scale

The Infrastructure of Modern Ranking Systems, Part 2: The Data Layer - Fueling the Models with Feature and Vector Stores

The Infrastructure of Modern Ranking Systems, Part 2: The Data Layer - Fueling the Models with Feature and Vector Stores

The Infrastructure of Modern Ranking Systems, Part 3: The MLOps Backbone - From Training to Deployment

The Infrastructure of Modern Ranking Systems, Part 3: The MLOps Backbone - From Training to Deployment

How I built a movie suggestion app with zero ML experience

How I built a movie suggestion app with zero ML experience

The Anatomy of Modern Ranking Architectures: Part 2

The Anatomy of Modern Ranking Architectures: Part 2

The Anatomy of Modern Ranking Architectures: Part 3

The Anatomy of Modern Ranking Architectures: Part 3

The Anatomy of Modern Ranking Architectures: Part 4

The Anatomy of Modern Ranking Architectures: Part 4

The Anatomy of Modern Ranking Architectures: Part 1

The Anatomy of Modern Ranking Architectures: Part 1

YouTube gets ~5% CTR lift on Shorts by replacing embedding tables with Semantic IDs

YouTube gets ~5% CTR lift on Shorts by replacing embedding tables with Semantic IDs

Introducing Shaped Generative Enrichment: Garbage In, Gold Out.

Introducing Shaped Generative Enrichment: Garbage In, Gold Out.

Building a HackerNews "For You" Feed

Building a HackerNews "For You" Feed

Beyond Keywords: How to Rank for 'Vibe' in Your Marketplace

Beyond Keywords: How to Rank for 'Vibe' in Your Marketplace

From SQL to AI: A 5-Step Playbook for Replacing 'Trending' with a Smart Ranking API

From SQL to AI: A 5-Step Playbook for Replacing 'Trending' with a Smart Ranking API

The Billion-Dollar Blind Spot: Why Your Marketplace is Hiding Its Best Products

The Billion-Dollar Blind Spot: Why Your Marketplace is Hiding Its Best Products

The Discovery Flywheel: How a 1% Ranking Improvement Lifts Engagement, Conversion, AND Retention

The Discovery Flywheel: How a 1% Ranking Improvement Lifts Engagement, Conversion, AND Retention

The End of the Search Bar: Why Your Marketplace's Future is a 'For You' Feed

The End of the Search Bar: Why Your Marketplace's Future is a 'For You' Feed

The PM's Guide to Personalization: A 'Build vs. Buy' Framework for 2025

The PM's Guide to Personalization: A 'Build vs. Buy' Framework for 2025

Your Filters Are Killing Your Conversions

Your Filters Are Killing Your Conversions

The Vector Bottleneck: Limitations of Embedding-Based Retrieval

The Vector Bottleneck: Limitations of Embedding-Based Retrieval

Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation

Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation

Best APIs for E-Commerce Upsell and Cross-Sell in 2025

Best APIs for E-Commerce Upsell and Cross-Sell in 2025

Best Bloomreach Alternatives in 2025

Best Bloomreach Alternatives in 2025

Best Coveo Alternatives in 2025

Best Coveo Alternatives in 2025

Best Vector Database Alternatives in 2025

Best Vector Database Alternatives in 2025

The 7 Best Dynamic Yield Alternatives in 2025

The 7 Best Dynamic Yield Alternatives in 2025

The 7 Best Elasticsearch Alternatives in 2025

The 7 Best Elasticsearch Alternatives in 2025

The 7 Best RAG APIs for Personalization in 2025

The 7 Best RAG APIs for Personalization in 2025

The 10 Best AI-Native Personalization Platforms in 2025

The 10 Best AI-Native Personalization Platforms in 2025

5 Best APIs for Adding Personalized Recommendations to Your App in 2025

5 Best APIs for Adding Personalized Recommendations to Your App in 2025

Shaped vs. Lucidworks: Specialized AI Relevance or Enterprise Search Powerhouse?

Shaped vs. Lucidworks: Specialized AI Relevance or Enterprise Search Powerhouse?

The 10 Best Algolia Alternatives in 2025

The 10 Best Algolia Alternatives in 2025

7 Best Ways to Build a TikTok-Style For You Feed in 2025 (with APIs)

7 Best Ways to Build a TikTok-Style For You Feed in 2025 (with APIs)

The 10 Best AWS Personalize Alternatives in 2025

The 10 Best AWS Personalize Alternatives in 2025

The 10 Best Pinecone Alternatives in 2025

The 10 Best Pinecone Alternatives in 2025

The 10 Best Semantic Search APIs in 2025

The 10 Best Semantic Search APIs in 2025

The 7 Best Ways to Build a For You Feed in 2025

The 7 Best Ways to Build a For You Feed in 2025

Closing the Research-to-Production Gap: How to Unlock Experimentation Velocity in Recommendations

Closing the Research-to-Production Gap: How to Unlock Experimentation Velocity in Recommendations

Shaped vs. Bloomreach: Focused AI Relevance vs. Integrated Experience Cloud

Shaped vs. Bloomreach: Focused AI Relevance vs. Integrated Experience Cloud

Stop Showing Irrelevant Results: Build Truly Personalized Search

Stop Showing Irrelevant Results: Build Truly Personalized Search

Measuring Personalization: Are Your Recommendations Truly Unique?

Measuring Personalization: Are Your Recommendations Truly Unique?

RentTheRunway Dataset: Deep Dive into Fashion Fit, Context, and Recommendation Challenges

RentTheRunway Dataset: Deep Dive into Fashion Fit, Context, and Recommendation Challenges

Where Matters: Location Feature Engineering for Search & Recs

Where Matters: Location Feature Engineering for Search & Recs

Fitment is Solved. The Next Million-Dollar Problem is Ranking.

Fitment is Solved. The Next Million-Dollar Problem is Ranking.

Your Marketplace Has a "SKU of 1" Problem. Traditional Personalization Can't Fix It.

Your Marketplace Has a "SKU of 1" Problem. Traditional Personalization Can't Fix It.

LambdaMART Explained: The Workhorse of Learning-to-Rank

LambdaMART Explained: The Workhorse of Learning-to-Rank

Powering Personalized Video Recommendations with Mux and Shaped (via Kinesis)

Powering Personalized Video Recommendations with Mux and Shaped (via Kinesis)

Why Shaped is the #1 Product Recommendation Engine

Why Shaped is the #1 Product Recommendation Engine

Average Popularity: Are Your Recommendations Just Chasing Trends?

Average Popularity: Are Your Recommendations Just Chasing Trends?

Decoding Timestamps: Time-Based Feature Engineering for Search & Recs

Decoding Timestamps: Time-Based Feature Engineering for Search & Recs

Shaped vs. Algolia: The Definitive Guide for Engineering & Product Teams

Shaped vs. Algolia: The Definitive Guide for Engineering & Product Teams

GoodReads Datasets: Powering Book Recommendations and Research

GoodReads Datasets: Powering Book Recommendations and Research

Activating Your Redshift Data Warehouse for AI Personalization with Shaped

Activating Your Redshift Data Warehouse for AI Personalization with Shaped

Peering Inside the Black Box: Leveraging User & Item Embeddings

Peering Inside the Black Box: Leveraging User & Item Embeddings

Mastering Feature Interactions: A Deep Dive into DLRM-Style Ranking Models (Wide & Deep, DeepFM, etc.)

Mastering Feature Interactions: A Deep Dive into DLRM-Style Ranking Models (Wide & Deep, DeepFM, etc.)

The Three Ranking Problems Every Real Estate Marketplace Faces

The Three Ranking Problems Every Real Estate Marketplace Faces

Inside PinRec - Pinterest’s Production-Ready Generative Retrieval Model

Inside PinRec - Pinterest’s Production-Ready Generative Retrieval Model

Categorical Features: The Backbone of Search & Recs Engineering

Categorical Features: The Backbone of Search & Recs Engineering

Your Personalization Project Has a 2-Year Payback Period. Here's How to Make It 2 Weeks.

Your Personalization Project Has a 2-Year Payback Period. Here's How to Make It 2 Weeks.

The Personalization Maturity Curve: What Level is Your Marketplace On?

The Personalization Maturity Curve: What Level is Your Marketplace On?

Catalog Coverage: Are Your Recommendations Exploring Your Whole Inventory?

Catalog Coverage: Are Your Recommendations Exploring Your Whole Inventory?

Activating Your SingleStore Data for Real-Time AI Personalization with Shaped

Activating Your SingleStore Data for Real-Time AI Personalization with Shaped

Powering AI Personalization for Your Shopify Store with Shaped

Powering AI Personalization for Your Shopify Store with Shaped

Content-Based Filtering Explained: Recommending Based on What You Like

Content-Based Filtering Explained: Recommending Based on What You Like

Activating Your Apache Iceberg Data Lake for AI Personalization with Shaped

Activating Your Apache Iceberg Data Lake for AI Personalization with Shaped

MovieLens Dataset: The Essential Benchmark for Recommender Systems

MovieLens Dataset: The Essential Benchmark for Recommender Systems

Powering AI Personalization with Your PostgreSQL Data and Shaped

Powering AI Personalization with Your PostgreSQL Data and Shaped

Activate Your Rudderstack Event Streams for Real-Time AI Personalization with Shaped

Activate Your Rudderstack Event Streams for Real-Time AI Personalization with Shaped

From Zero to Relevant: Solving the Cold Start User Problem

From Zero to Relevant: Solving the Cold Start User Problem

Last.fm Datasets: Unlocking Music Recommendations Through Listening History and Social Connections

Last.fm Datasets: Unlocking Music Recommendations Through Listening History and Social Connections

Privacy-First Personalization: The 7-Step Framework for Building Trust and Driving Growth

Privacy-First Personalization: The 7-Step Framework for Building Trust and Driving Growth

See the Bigger Picture: Image Feature Engineering for Search & Recs

See the Bigger Picture: Image Feature Engineering for Search & Recs

Shaped Is Now SOC 2 Type 2 Certified: The Platform You Can Trust for AI-Powered Recommendations and Search

Shaped Is Now SOC 2 Type 2 Certified: The Platform You Can Trust for AI-Powered Recommendations and Search

How YouTube’s Algorithm Works: A Guide to Recommendations

How YouTube’s Algorithm Works: A Guide to Recommendations

MRR: How Quickly Do Users Find the First Relevant Item?

MRR: How Quickly Do Users Find the First Relevant Item?

Activate Your S3 Data Lake for AI Personalization with Shaped

Activate Your S3 Data Lake for AI Personalization with Shaped

Mastering Cold Start Challenges: Top Strategies for Personalized AI Experiences

Mastering Cold Start Challenges: Top Strategies for Personalized AI Experiences

Explainable Personalization: A Practical Guide for Building Trust and Transparency

Explainable Personalization: A Practical Guide for Building Trust and Transparency

Matrix Factorization: The Bedrock of Collaborative Filtering Recommendations

Matrix Factorization: The Bedrock of Collaborative Filtering Recommendations

Keep Shoppers Engaged: Powering "Similar Items" Carousels on PDPs

Keep Shoppers Engaged: Powering "Similar Items" Carousels on PDPs

Modular AI: Building Composable Personalization Stacks

Modular AI: Building Composable Personalization Stacks

NDCG: Evaluating Ranking Quality with Graded Relevance

NDCG: Evaluating Ranking Quality with Graded Relevance

Shaped vs. Elasticsearch: Choosing the Right Engine for Search and Personalization

Shaped vs. Elasticsearch: Choosing the Right Engine for Search and Personalization

10 Best Practices in Data Ingestion: A Scalable Framework for Real-Time, Reliable Pipelines

10 Best Practices in Data Ingestion: A Scalable Framework for Real-Time, Reliable Pipelines

Monolithic vs Modular AI Architecture: Key Trade-Offs

Monolithic vs Modular AI Architecture: Key Trade-Offs

How to Unify Data Ecosystems for Seamless Personalization

How to Unify Data Ecosystems for Seamless Personalization

Glossary: Dot Product Similarity

Glossary: Dot Product Similarity

Glossary: Item-Based Collaborative Filtering

Glossary: Item-Based Collaborative Filtering

Glossary: K-Nearest Neighbors (KNN)

Glossary: K-Nearest Neighbors (KNN)

Glossary: CLV Prediction

Glossary: CLV Prediction

Glosary: Contextual Bandits

Glosary: Contextual Bandits

Powering AI Personalization with Your BigQuery Data and Shaped

Powering AI Personalization with Your BigQuery Data and Shaped

AI-Powered Recommendation Engines: A Complete Guide

AI-Powered Recommendation Engines: A Complete Guide

Glossary: Alternating Least Squares (ALS)

Glossary: Alternating Least Squares (ALS)

Glossary: Context-Aware Filtering

Glossary: Context-Aware Filtering

Glossary: Cosine Similarity

Glossary: Cosine Similarity

Glossary: K-Nearest Neighbors (KNN)

Glossary: K-Nearest Neighbors (KNN)

Glossary: Movie Recommendation Engine

Glossary: Movie Recommendation Engine

Glossary: Streaming Personalization

Glossary: Streaming Personalization

Glossary: Temporal Dynamics

Glossary: Temporal Dynamics

Glossary: User-Item Matrix

Glossary: User-Item Matrix

Customer Data Platform Essentials: Unlocking Real-Time Personalization with First-Party Data

Customer Data Platform Essentials: Unlocking Real-Time Personalization with First-Party Data

Advancements in Feed Ranking Systems: A Deep Dive into Large-Scale Models

Advancements in Feed Ranking Systems: A Deep Dive into Large-Scale Models

Glossary: Cross Validation

Glossary: Cross Validation

Glossary: Next-Best-Action Recommendation

Glossary: Next-Best-Action Recommendation

Glossary: Personalized Offers

Glossary: Personalized Offers

Glossary: Ranking Algorithms

Glossary: Ranking Algorithms

Glossary: Recommendation Feedback Loop

Glossary: Recommendation Feedback Loop

Glossary: Recommendation Funnel Optimization

Glossary: Recommendation Funnel Optimization

Glossary: Sequence-Aware Recommendations

Glossary: Sequence-Aware Recommendations

Glossary: Serendipity in Recommendations

Glossary: Serendipity in Recommendations

Glossary: User Affinity Modeling

Glossary: User Affinity Modeling

Glossary: User Embedding

Glossary: User Embedding

Beyond A/B Testing: A Practical Guide to Multi-Armed Bandits

Beyond A/B Testing: A Practical Guide to Multi-Armed Bandits

Shaped vs. Vector Databases (Pinecone, Weaviate, etc.): Complete Relevance Platform or Similarity Search Tool?

Shaped vs. Vector Databases (Pinecone, Weaviate, etc.): Complete Relevance Platform or Similarity Search Tool?

A Comprehensive Guide to Approximate Nearest Neighbors Algorithms

A Comprehensive Guide to Approximate Nearest Neighbors Algorithms

Glossary: Multi-Armed Bandit Algorithm

Glossary: Multi-Armed Bandit Algorithm

Glossary: New Item Problem

Glossary: New Item Problem

Glossary:Personalized Ranking

Glossary:Personalized Ranking

Glossary: Product Recommendation Engine

Glossary: Product Recommendation Engine

Glossary: User-Based Collaborative Filtering (UBCF)

Glossary: User-Based Collaborative Filtering (UBCF)

How Does Temu Work? Understanding Its Personalization Strategy

How Does Temu Work? Understanding Its Personalization Strategy

Enhance Your AI with Real-Time Data Using RAG

Enhance Your AI with Real-Time Data Using RAG

Glossary: Batch Recommendations

Glossary: Batch Recommendations

Glossary: Cold Start Problem

Glossary: Cold Start Problem

Glossary: Collaborative Filtering

Glossary: Collaborative Filtering

Glossary: Contextual Recommendations

Glossary: Contextual Recommendations

Glossary: E-commerce Personalization

Glossary: E-commerce Personalization

Glossary: Hybrid Recommendation System

Glossary: Hybrid Recommendation System

Glossary: Implicit Signals

Glossary: Implicit Signals

Glossary: Item Embedding

Glossary: Item Embedding

Glossary: Personalized Navigation

Glossary: Personalized Navigation

Glossary: Real-Time User Modeling

Glossary: Real-Time User Modeling

Bringing Collaborative Filtering to LLMs with AdaptRec

Bringing Collaborative Filtering to LLMs with AdaptRec

Glossary: Intent Prediction

Glossary: Intent Prediction

How Amazon Masterminds Real-Time Product Discovery Beyond Search

How Amazon Masterminds Real-Time Product Discovery Beyond Search

Measuring Recommendation Performance: Relevancy, Precision, and Recall

Measuring Recommendation Performance: Relevancy, Precision, and Recall

Boosting Revenue with AI-Powered Cross-Selling Recommendations

Boosting Revenue with AI-Powered Cross-Selling Recommendations

Glossary: Dynamic Product Display

Glossary: Dynamic Product Display

Glossary: Novelty in Recommendations

Glossary: Novelty in Recommendations

Glossary: Real-Time Recommendations

Glossary: Real-Time Recommendations

Shaped vs. Building Your Own: The AI Relevance Dilemma – Platform or DIY Stack?

Shaped vs. Building Your Own: The AI Relevance Dilemma – Platform or DIY Stack?

A/B Testing Your Rankings: Metrics That Matter in the Real World

A/B Testing Your Rankings: Metrics That Matter in the Real World

Glossary: Latent Factor Model

Glossary: Latent Factor Model

Glossary: Recommender System

Glossary: Recommender System

Glossary: Session-Based Recommendations

Glossary: Session-Based Recommendations

Activating Your MongoDB Data for AI Personalization with Shaped

Activating Your MongoDB Data for AI Personalization with Shaped

The Power of Deep Learning for Hyper-Personalized Recommendations

The Power of Deep Learning for Hyper-Personalized Recommendations

Glossary: Content-based Filtering

Glossary: Content-based Filtering

Glossary: Personalized Search

Glossary: Personalized Search

Glossary: Zero-Party Data Personalization

Glossary: Zero-Party Data Personalization

Glossary: Item Similarity Matrix

Glossary: Item Similarity Matrix

Glossary: Matrix Factorization

Glossary: Matrix Factorization

Glossary: New User Problem

Glossary: New User Problem

Golden Tests in AI: Ensuring Reliability Without Slowing Innovation

Golden Tests in AI: Ensuring Reliability Without Slowing Innovation

Glossary: Personalized Homepage

Glossary: Personalized Homepage

Bridging Worlds: Training Language Models on User Behavior for Smarter Recommendations

Bridging Worlds: Training Language Models on User Behavior for Smarter Recommendations

Evaluation Metrics for Search and Recommendation Systems

Evaluation Metrics for Search and Recommendation Systems

Glossary: Upselling Recommendations

Glossary: Upselling Recommendations

Activating ClickHouse Data for AI-Powered Personalization with Shaped

Activating ClickHouse Data for AI-Powered Personalization with Shaped

Glossary: Cross-Selling Engine

Glossary: Cross-Selling Engine

Glossary: Music Recommendation System

Glossary: Music Recommendation System

Glossary: Popularity Bias

Glossary: Popularity Bias

Connect Your Users: Building "People to Follow" Recommendations

Connect Your Users: Building "People to Follow" Recommendations

Glossary: First-Party Data in Recommendations

Glossary: First-Party Data in Recommendations

The Ultimate Guide to Modern Ranking Models

The Ultimate Guide to Modern Ranking Models

Collaborative Filtering Explained

Collaborative Filtering Explained

Unlock Granular Insights: Power Real-Time AI Personalization with Snowplow and Shaped

Unlock Granular Insights: Power Real-Time AI Personalization with Snowplow and Shaped

Vector Search Explained: How AI Powers Smarter Search and Recommendations

Vector Search Explained: How AI Powers Smarter Search and Recommendations

Optimizing Video Recommendation Systems: A Deep Dive into Tweedie Regression for Predicting Watch Time (Tubi Case Study)

Optimizing Video Recommendation Systems: A Deep Dive into Tweedie Regression for Predicting Watch Time (Tubi Case Study)

Shaped vs. Coveo: Choosing Between AI-Native Focus and Enterprise Relevance Platforms

Shaped vs. Coveo: Choosing Between AI-Native Focus and Enterprise Relevance Platforms

Key Insights from the Netflix Personalization, Recommendations & Search Workshop 2025

Key Insights from the Netflix Personalization, Recommendations & Search Workshop 2025

Wayfair & Pinterest: Leveraging Visual Data and User Behavior for Personalized Discovery

Wayfair & Pinterest: Leveraging Visual Data and User Behavior for Personalized Discovery

Semantic Tokenization for Generative Retrieval: Introducing GenRet

Semantic Tokenization for Generative Retrieval: Introducing GenRet

The Two-Tower Model for Recommendation Systems: A Deep Dive

The Two-Tower Model for Recommendation Systems: A Deep Dive

Criteo Dataset: Tackling Large-Scale Click-Through Rate Prediction

Criteo Dataset: Tackling Large-Scale Click-Through Rate Prediction

Beyond Static Preferences: Understanding Sequential Models in Recommendation Systems (N-Gram, SASRec, BERT4Rec & Beyond)

Beyond Static Preferences: Understanding Sequential Models in Recommendation Systems (N-Gram, SASRec, BERT4Rec & Beyond)

SOAR: Orthogonality-Amplified ANN Indexing

SOAR: Orthogonality-Amplified ANN Indexing

How to Build a Killer 'For You' Feed

How to Build a Killer 'For You' Feed

Bringing Emotions to Recommender Systems: A Deep Dive into Empathetic Conversational Recommendation

Bringing Emotions to Recommender Systems: A Deep Dive into Empathetic Conversational Recommendation

Beyond Retrieval: Optimizing Relevance with Reranking

Beyond Retrieval: Optimizing Relevance with Reranking

Precision@K: Measuring What Matters at the Top of Your Rankings

Precision@K: Measuring What Matters at the Top of Your Rankings

Cross-Encoder Rediscovers a Semantic Variant of BM25

Cross-Encoder Rediscovers a Semantic Variant of BM25

Activate Your Segment Data for Real-Time AI Personalization with Shaped

Activate Your Segment Data for Real-Time AI Personalization with Shaped

One Embedding to Rule Them All

One Embedding to Rule Them All

AI: Redefining the Future of Investment

AI: Redefining the Future of Investment

Building Real-Time AI Recommendations and Search with Amplitude and Shaped

Building Real-Time AI Recommendations and Search with Amplitude and Shaped

Beyond the Basics: Evaluating Shaped vs. AWS Personalize for Advanced Relevance

Beyond the Basics: Evaluating Shaped vs. AWS Personalize for Advanced Relevance

Evaluating Search and Recommendation Platforms: Shaped vs. Algolia

Evaluating Search and Recommendation Platforms: Shaped vs. Algolia

Powering Fast and Relevant Documentation Search

Jagged Flash Attention Optimization

Jagged Flash Attention Optimization

Beyond Relevance: Optimizing for Multiple Objectives in Search and Recommendations

Beyond Relevance: Optimizing for Multiple Objectives in Search and Recommendations

Introducing Value Modeling: A Control Panel for Your Business Objectives

Introducing Value Modeling: A Control Panel for Your Business Objectives

Beyond Dot Products: Retrieval with Learned Similarities

Beyond Dot Products: Retrieval with Learned Similarities

Powerful A/B Testing Metrics: Boost Statistical Power and Reduce Errors

Powerful A/B Testing Metrics: Boost Statistical Power and Reduce Errors

Multimodal Alignment for Recommendations

Multimodal Alignment for Recommendations

MaskNet: CTR Ranking Innovation

MaskNet: CTR Ranking Innovation

Introducing Shaped Analytics: A Unified Toolkit Built for Search and Recommendations

Introducing Shaped Analytics: A Unified Toolkit Built for Search and Recommendations

Is Data Splitting Making or Breaking Your Recommender System?

Is Data Splitting Making or Breaking Your Recommender System?

EmbSum: LLM-Powered Content Recommendations

EmbSum: LLM-Powered Content Recommendations

Titans: Learning to Memorize at Test Time - A Breakthrough in Neural Memory Systems

Titans: Learning to Memorize at Test Time - A Breakthrough in Neural Memory Systems

Decoding Job Recommendations: The Future of Explainable Multi-Stakeholder AI

Decoding Job Recommendations: The Future of Explainable Multi-Stakeholder AI

Cosine Similarity: Not the Silver Bullet We Thought It Was

Cosine Similarity: Not the Silver Bullet We Thought It Was

Improving Recommendations by Calibrating for User Interests

Improving Recommendations by Calibrating for User Interests

Vector Search — Lucene is All You Need

Vector Search — Lucene is All You Need

Video: Shaped @ 2024 Year End Gen AI Zoo

Video: Shaped @ 2024 Year End Gen AI Zoo

Shaped Launches Semantic Search with Behavioral Re-ranking

Shaped Launches Semantic Search with Behavioral Re-ranking

Understanding Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Understanding Graph Convolutional Neural Networks for Web-Scale Recommender Systems

How to Implement Effective Caching Strategies for Recommender Systems

How to Implement Effective Caching Strategies for Recommender Systems

Deep Reinforcement Learning for Recommender Systems

Deep Reinforcement Learning for Recommender Systems

Recommender Systems: The Rise of Graph Neural Networks

Recommender Systems: The Rise of Graph Neural Networks

How to Calculate and Interpret Precision@K

How to Calculate and Interpret Precision@K

Learning to Rank for Recommender Systems: A Practical Guide

Learning to Rank for Recommender Systems: A Practical Guide

Is the key to unlocking better user experiences in recommender systems found in exploration?

Is the key to unlocking better user experiences in recommender systems found in exploration?

Building Real-Time Recommendation Systems at Scale with Jason Liu

Building Real-Time Recommendation Systems at Scale with Jason Liu

Video: Chatting to AfterHour Founder Kevin Xu

Video: Chatting to AfterHour Founder Kevin Xu

Shaped Raises Series A, Launches Self-Serve Platform to Power the Future of AI-Driven Recommendations & Search

Shaped Raises Series A, Launches Self-Serve Platform to Power the Future of AI-Driven Recommendations & Search

Breaking Down Toolformer

Breaking Down Toolformer

Real-time Segment and Amplitude Connectors

Real-time Segment and Amplitude Connectors

Takeaways from the Nvidia Recommender Systems Summit 2022

Takeaways from the Nvidia Recommender Systems Summit 2022

Recommender Model Evaluation: Offline vs. Online

Recommender Model Evaluation: Offline vs. Online

Is this the ChatGPT moment for recommendation systems?

Is this the ChatGPT moment for recommendation systems?

A Technical Intro to Embeddings: The approach to data powering modern AI

A Technical Intro to Embeddings: The approach to data powering modern AI

Embracing Embeddings: From fragmented insights to unified understanding

Embracing Embeddings: From fragmented insights to unified understanding

Part 2: How much data do I need for a recommendation system?

Part 2: How much data do I need for a recommendation system?

Search the way you think: how personalized semantic search is disrupting traditional search

Search the way you think: how personalized semantic search is disrupting traditional search

RAG for RecSys: a magic formula?

RAG for RecSys: a magic formula?

How Threads Built a World-Class Recommendation System in Record Time

How Threads Built a World-Class Recommendation System in Record Time

Personalization in Marketplaces: A Game-Changer

Personalization in Marketplaces: A Game-Changer

Exploring the benefits of Large Language Models for Recommendation Systems

Exploring the benefits of Large Language Models for Recommendation Systems

LLMs - a paradigm shift in RecSys?

LLMs - a paradigm shift in RecSys?

How synthetic data is used to train machine-learning models

How synthetic data is used to train machine-learning models

Explainable AI

Explainable AI

Not your average RecSys metrics Part 2: Novelty

Not your average RecSys metrics Part 2: Novelty

Not your average RecSys metrics. Part 1: Serendipity

Not your average RecSys metrics. Part 1: Serendipity

Part 1: How much data do I need for a recommendation system?

Part 1: How much data do I need for a recommendation system?

X's Open Source Algorithm - Unveiling the code, but not the secrets

X's Open Source Algorithm - Unveiling the code, but not the secrets

MovieLens to Production in Minutes

MovieLens to Production in Minutes

Evaluating recommendation systems (ROC, AUC, and Precision-Recall)

Evaluating recommendation systems (ROC, AUC, and Precision-Recall)

Shaped 1.0: The fastest way to personalize your product, platform or marketplace

Shaped 1.0: The fastest way to personalize your product, platform or marketplace

GPT-4: A New Milestone in Scaling Up Deep Learning

GPT-4: A New Milestone in Scaling Up Deep Learning

Size Isn't Everything - How LLaMA democratizes access to Large-Language-Models

Size Isn't Everything - How LLaMA democratizes access to Large-Language-Models

Evaluating recommendation systems (mAP, MMR, NDCG)

Evaluating recommendation systems (mAP, MMR, NDCG)

Sounding The Secrets Of AudioLM

Sounding The Secrets Of AudioLM

Shaped is now SOC 2 Compliant

Shaped is now SOC 2 Compliant

Do Large Language Models (LLMs) reason?

Do Large Language Models (LLMs) reason?

The Secret Sauce of Tik-Tok’s Recommendations

The Secret Sauce of Tik-Tok’s Recommendations

Evaluating Recommendation Systems - Precision@k, Recall@k, and R-Precision

Evaluating Recommendation Systems - Precision@k, Recall@k, and R-Precision

Whisper 🤫 : A multilingual and multitask robust ASR model

Whisper 🤫 : A multilingual and multitask robust ASR model

Microsoft vs Google - ChatGPT taking over search?

Microsoft vs Google - ChatGPT taking over search?

Shaped vs. Algolia Recommend

Shaped vs. Algolia Recommend

Real-time Search, Session, and Similar Ranking

Real-time Search, Session, and Similar Ranking

Asking ChatGPT about itself and the future of chatbots

Why your feeds are getting worse over time

Why your feeds are getting worse over time

Your browsing behavior is being modeled as a language

Your browsing behavior is being modeled as a language

Day 3 of #Recsys2022: our favorite 5 papers and talks

Day 3 of #Recsys2022: our favorite 5 papers and talks

Day 2 of #RecSys2022: Our favorite 5 papers and talks

Day 2 of #RecSys2022: Our favorite 5 papers and talks

Day 1 of #Recsys2022: Our favorite 5 papers and talks

Day 1 of #Recsys2022: Our favorite 5 papers and talks

Shaped vs. AWS Personalize

Shaped vs. AWS Personalize

10 ways AI will change products and experiences in the next 5 years

10 ways AI will change products and experiences in the next 5 years

A ranking model for every use-case!

A ranking model for every use-case!

Exploration vs. Exploitation in Recommendation Systems

Exploration vs. Exploitation in Recommendation Systems

Yann LeCun: A Path Towards Autonomous Machine Intelligence

Yann LeCun: A Path Towards Autonomous Machine Intelligence

From Analytics to Action

From Analytics to Action

Information Retrieval Systems, the precursors of Recommender Systems

Information Retrieval Systems, the precursors of Recommender Systems

Data-Centric AI for Ranking

Data-Centric AI for Ranking

Shaped API Docs

Shaped API Docs

Why Airbnb Made Such a Big Deal About Categories

Why Airbnb Made Such a Big Deal About Categories

$1.9M Funding Round

$1.9M Funding Round

YC Demo Day W22

YC Demo Day W22

Shaped is backed by Y Combinator

Shaped is backed by Y Combinator