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Table of contents
Introduction
Blog
Community & getting help
Roadmap
Changelog
Getting started
Quickstart
Architecture
Overview
Language
Push vs Pull Model
Write Patterns
Feature Transformation
Feature Serving and Model Inference
Role-Based Access Control (RBAC)
Concepts
Overview
Project
Data ingestion
Entity
Feature view
Feature retrieval
Point-in-time joins
[Alpha] Saved dataset
Permission
Tags
Use Cases
Components
Overview
Registry
Offline store
Online store
Feature server
Batch Materialization Engine
Provider
Authorization Manager
OpenTelemetry Integration
Third party integrations
FAQ
Tutorials
Sample use-case tutorials
Driver ranking
Fraud detection on GCP
Real-time credit scoring on AWS
Driver stats on Snowflake
Validating historical features with Great Expectations
Building streaming features
Retrieval Augmented Generation (RAG) with Feast
How-to Guides
Running Feast with Snowflake/GCP/AWS
Install Feast
Create a feature repository
Deploy a feature store
Build a training dataset
Load data into the online store
Read features from the online store
Scaling Feast
Structuring Feature Repos
Running Feast in production (e.g. on Kubernetes)
Customizing Feast
Adding a custom batch materialization engine
Adding a new offline store
Adding a new online store
Adding a custom provider
Adding or reusing tests
Starting Feast servers in TLS(SSL) Mode
Reference
Codebase Structure
Type System
Data sources
Overview
File
Snowflake
BigQuery
Redshift
Push
Kafka
Kinesis
Spark (contrib)
PostgreSQL (contrib)
Trino (contrib)
Azure Synapse + Azure SQL (contrib)
Couchbase (contrib)
Offline stores
Overview
Dask
Snowflake
BigQuery
Redshift
DuckDB
Couchbase Columnar (contrib)
Spark (contrib)
PostgreSQL (contrib)
Trino (contrib)
Azure Synapse + Azure SQL (contrib)
Clickhouse (contrib)
Remote Offline
Online stores
Overview
SQLite
Snowflake
Redis
Dragonfly
IKV
Datastore
DynamoDB
Bigtable
Remote
PostgreSQL
Cassandra + Astra DB
Couchbase
MySQL
Hazelcast
ScyllaDB
SingleStore
Milvus
Registries
Local
S3
GCS
SQL
Snowflake
Providers
Local
Google Cloud Platform
Amazon Web Services
Azure
Batch Materialization Engines
Snowflake
AWS Lambda (alpha)
Spark (contrib)
Feature repository
feature_store.yaml
.feastignore
Feature servers
Python feature server
[Alpha] Go feature server
Offline Feature Server
Registry server
[Beta] Web UI
[Beta] On demand feature view
[Alpha] Vector Database
[Alpha] Data quality monitoring
[Alpha] Streaming feature computation with Denormalized
Feast CLI reference
Python API reference
Usage
Project
Contribution process
Development guide
Backwards Compatibility Policy
Maintainer Docs
Versioning policy
Release process
Feast 0.9 vs Feast 0.10+
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