phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-12-24 09:00:02 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Merge branch 'main' into feat/2729-configurable-embeddings-v2

Browse source
This commit is contained in:
Sumanth Kamenani 2025-07-22 08:50:01 -04:00 • committed by GitHub
commit 02e13617c2
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
4 changed files with 66 additions and 59 deletions
Download patch file Download diff file Expand all files Collapse all files

2
llama_stack/providers/registry/vector_io.py
View file

@ -395,7 +395,7 @@ That means you'll get fast and efficient vector retrieval.
To use PGVector in your Llama Stack project, follow these steps:
1. Install the necessary dependencies.
2. Configure your Llama Stack project to use Faiss.
2. Configure your Llama Stack project to use pgvector. (e.g. remote::pgvector).
3. Start storing and querying vectors.
## Installation