← 返回首页
Concepts | Feast: the Open Source Feature Store
⌘
Ctrl
k
GitBook Assistant
GitBook Assistant
GitBook Assistant
arrow-up-right-and-arrow-down-left-from-center
GitBook Assistant
Good night
I'm here to help you with the docs.
What is this page about?
What should I read next?
Can you give an example?
⌘
Ctrl
i
AI
Based on your context
Send
v0.64-branch
Introduction
Blog
Community & getting help
Roadmap
Changelog
Getting started
Quickstart
GenAI
Architecture
Concepts
Overview
Project
Data ingestion
Entity
Data types
Feature repository
Feature view
🧬
Batch feature view
Stream feature view
Tiling with Intermediate Representations
Label view
Feature retrieval
Point-in-time joins
[Alpha] Saved dataset
Permission
Tags
Use Cases
Components
Third party integrations
FAQ
Tutorials
Sample use-case tutorials
Validating historical features with Great Expectations
Building streaming features
Retrieval Augmented Generation (RAG) with Feast
RAG Fine Tuning with Feast and Milvus
MCP - AI Agent Example
Feast-Powered AI Agent
Demo Notebooks
Feature Quality Monitoring Quickstart
How-to Guides
Running Feast with Snowflake/GCP/AWS
Running Feast in production (e.g. on Kubernetes)
Feast on Kubernetes
Feast Production Deployment Topologies
Online Server Performance Tuning
Customizing Feast
Adding or reusing tests
Starting Feast servers in TLS(SSL) Mode
Importing Features from dbt
Entity Key Serialization (v2 to v3)
Feature Quality Monitoring
Reference
Codebase Structure
Type System
Data sources
Offline stores
Online stores
Registries
Providers
🧠
Compute Engines
Feature repository
Kubernetes auth setup
User token provisioning
Feature servers
[Beta] Web UI
[Beta] On demand feature view
[Alpha] Static Artifacts Loading
[Alpha] Vector Database
[Alpha] Data quality monitoring
[Alpha] Streaming feature computation with Denormalized
[Alpha] Feature View Versioning
OpenLineage Integration
MLflow Integration
Feast CLI reference
Python API reference
Usage
Project
Contribution process
Development guide
Backwards Compatibility Policy
Versioning policy
Release process
Feast 0.9 vs Feast 0.10+
Architecture Decision Records
Powered by GitBook
On this page
For the complete documentation index, see
llms.txt
. This page is also available as
Markdown
.
GitBook Assistant
Ask
On this page
Getting started
Concepts
Overview
Project
Data ingestion
Entity
Data types
Feature repository
Feature view
🧬
Batch feature view
Stream feature view
Tiling with Intermediate Representations
Feature retrieval
Point-in-time joins
[Alpha] Saved dataset
Label view
Permission
Tags
Previous
Role-Based Access Control (RBAC)
Next
Overview
Last updated 22 days ago
Was this helpful?
Was this helpful?