Add readme

dockers/llm.vdb.service/README.md

@@ -0,0 +1,39 @@
+# Create Vector Databas
+
+## Run locally
+Create a venv and install requirements.txt
+
+Locally vector db creation can be run in two modes: local dir or s3. 
+
+Please see template files
+```shell
+.env_local_template
+.env_s3_template
+```
+
+To run the app You can either export all required env vars or prepare an .env file and run 
+```shell
+uv run createvectordb.py 
+or
+python createvectordb.py 
+```
+
+Or You can pass the file:
+```shell
+uv run createvectordb.py --env_file backup-.env
+```
+
+## Run tests
+Also install in your venv requirements-dev.tx and call
+```shell
+uv run pytest
+```
+
+## Run in k8s
+Using pydantic settings introduces one impediment. Before running
+```shell
+envsubst < createvdb.yaml | kubectl apply -f -
+```
+We must make sure all env variables are exported. If for ex EMBEDDING_CHUNK_SIZE is not set in our terminal, 
+envsubst will put an empty string there and pydantic settings will complain that they can't change 
+empty setting to integer.