Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Appearance settings

Commit 57d28d4

Browse filesBrowse files
committed
fix: Fix mongodb blog title
Signed-off-by: ntkathole <nikhilkathole2683@gmail.com>
1 parent d9ca539 commit 57d28d4
Copy full SHA for 57d28d4

1 file changed

+1-1Lines changed: 1 addition & 1 deletion

File tree

Expand file treeCollapse file tree
Open diff view settings
Filter options
Expand file treeCollapse file tree
Open diff view settings
Collapse file

‎infra/website/docs/blog/mongodb-feast-integration.md‎

Copy file name to clipboardExpand all lines: infra/website/docs/blog/mongodb-feast-integration.md
+1-1Lines changed: 1 addition & 1 deletion
  • Display the source diff
  • Display the rich diff
Original file line numberDiff line numberDiff line change
@@ -1,5 +1,5 @@
11
---
2-
title: Native MongoDB Support in Feast: One Database for Operational Data, Features, and Vectors
2+
title: "Native MongoDB Support in Feast: One Database for Operational Data, Features, and Vectors"
33
description: Feast now ships first-class support for **MongoDB** as both an online and an offline store, plus native **Vector Search** for embedding-based retrieval. Machine Learning teams running on MongoDB can serve features at low latency, generate point-in-time-correct training datasets, and power RAG or recommender workloads, all from a single MongoDB Atlas cluster, with no separate cache, no separate warehouse, and no parallel vector database to keep in sync.
44
date: 2026-05-07
55
authors: ["Rishabh Bisht"]

0 commit comments

Comments
0 (0)
Morty Proxy This is a proxified and sanitized view of the page, visit original site.