Add info for how to setup specifics with Langfuse

README.md

@@ -49,6 +49,23 @@ Alternatively, with a different dependency manager such as `venv` install direct
 **Note**: the dependencies then need to be documented manually in the `pyproject.toml`.
 
 
+### Set up `.env` file for secrets
+Locally set up a `.env` file for secrets. You require connection to an LLM, an embedding provider, and API keys for the Langfuse integration. The latter you can acquire after setting up a Langfuse project in the Langfuse GUI, either through a local setup or via Langfuse Cloud.
+
+Here is how the `.env` file should look like:
+```
+# .env 
+LLM_API_KEY= # Your LLM API key
+
+# Langfuse credentials
+LANGFUSE_PUBLIC_API_KEY= # Your Langfuse public API key
+LANGFUSE_SECRET_API_KEY= # Your Langfuse secret API key
+LANGFUSE_HOST="https://cloud.langfuse.com" # EU server for langfuse Cloud, can be different for other deployments
+```
+**Note**: the `.env` file is not version-controlled.
+
+### Setup for Langfuse Prompt Management
+Langfuse Prompt Management is used within this project. Therefore, setting up the prompt templates within Langfuse is mandatory. As the prompts directly integrate with the code, alignment is necessary. Current setup requirements can be provided by the maintainers.
 
 ## To-Do
  - create bsaic set-up with Qdrant in memory, ingestion pipeline