From 1e9805de051a9db1bad23989fc3190cab7953523 Mon Sep 17 00:00:00 2001 From: Palash Nigam Date: Thu, 31 Oct 2024 19:15:36 +0530 Subject: [PATCH 1/3] docs: Fix typo for openai config url (#181) --- docs/configuration.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/configuration.md b/docs/configuration.md index d3702e1..0f6def7 100644 --- a/docs/configuration.md +++ b/docs/configuration.md @@ -17,7 +17,7 @@ All Embedding model and LLM providers can have their base URLs changed. For example, if you have an OpenAI compliant embedding or LLM server (such as [vLLM](https://github.com/vllm-project/vllm)), running at `https://api.myserver.com/v1`, you can change the base URL with the following SQL command: ```sql -ALTER SYSTEM SET vectorize.openai_base_url TO 'https://api.myserver.com/v1'; +ALTER SYSTEM SET vectorize.openai_service_url TO 'https://api.myserver.com/v1'; SELECT pg_reload_conf(); ``` From 767ec2c07b14e55e03708fe86ad97f09c0cf82d1 Mon Sep 17 00:00:00 2001 From: Palash Nigam Date: Thu, 31 Oct 2024 19:15:55 +0530 Subject: [PATCH 2/3] CONTRIBUTING.md: Add missing information regarding enabling extensions (#180) --- CONTRIBUTING.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index f66fe41..c83bbba 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -105,6 +105,12 @@ make run Once the above command is run, you will be brought into Postgres via `psql`. +Run the following command inside the `psql` console to enable the extensions: + +```sql +create extension vectorize cascade +``` + To list out the enabled extensions, run: ```sql From 78fb9346e0b48e3abb12fe7ea672559d6e283aeb Mon Sep 17 00:00:00 2001 From: Adam Hendel Date: Fri, 1 Nov 2024 09:47:14 -0500 Subject: [PATCH 3/3] local only for cached models (#183) --- vector-serve/app/models.py | 11 +- vector-serve/poetry.lock | 513 +++++++++++++++++++------------------ 2 files changed, 268 insertions(+), 256 deletions(-) diff --git a/vector-serve/app/models.py b/vector-serve/app/models.py index 9cb01e3..31d651f 100644 --- a/vector-serve/app/models.py +++ b/vector-serve/app/models.py @@ -6,6 +6,13 @@ from app.metrics import ML_MODEL_COUNT +LOCAL_FILES_ONLY = os.getenv("LOCAL_FILES_ONLY", "true").lower() in [ + "true", + "1", + "t", + True, +] + _HF_ORG = "sentence-transformers" MODELS_TO_CACHE = [f"{_HF_ORG}/all-MiniLM-L6-v2"] @@ -28,7 +35,9 @@ def parse_header(authorization: str) -> str | None: def load_model_cache(app: FastAPI) -> dict[str, SentenceTransformer]: model_cache = {} for m in MODELS_TO_CACHE: - model_cache[m] = SentenceTransformer(m, cache_folder=cache_dir) + model_cache[m] = SentenceTransformer( + m, cache_folder=cache_dir, local_files_only=LOCAL_FILES_ONLY + ) app.state.model_cache = model_cache diff --git a/vector-serve/poetry.lock b/vector-serve/poetry.lock index a58da05..2627921 100644 --- a/vector-serve/poetry.lock +++ b/vector-serve/poetry.lock @@ -291,13 +291,13 @@ test = ["pytest (>=6)"] [[package]] name = "fastapi" -version = "0.115.2" +version = "0.115.4" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" files = [ - {file = "fastapi-0.115.2-py3-none-any.whl", hash = "sha256:61704c71286579cc5a598763905928f24ee98bfcc07aabe84cfefb98812bbc86"}, - {file = "fastapi-0.115.2.tar.gz", hash = "sha256:3995739e0b09fa12f984bce8fa9ae197b35d433750d3d312422d846e283697ee"}, + {file = "fastapi-0.115.4-py3-none-any.whl", 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