embedchain/docs/integration/openlit.mdx
Embedchain now supports integration with OpenLIT.
# Setting environment variable for OpenTelemetry destination and authetication.
export OTEL_EXPORTER_OTLP_ENDPOINT = "YOUR_OTEL_ENDPOINT"
export OTEL_EXPORTER_OTLP_HEADERS = "YOUR_OTEL_ENDPOINT_AUTH"
Open your terminal and run:
pip install openlit
Now create an app using Embedchain and initialize OpenTelemetry monitoring
from embedchain import App
import OpenLIT
# Initialize OpenLIT Auto Instrumentation for monitoring.
openlit.init()
# Initialize EmbedChain application.
app = App()
# Add data to your app
app.add("https://en.wikipedia.org/wiki/Elon_Musk")
# Query your app
app.query("How many companies did Elon found?")
Once you've set up data collection with OpenLIT, you can visualize and analyze this information to better understand your application's performance:
Using OpenLIT UI: Connect to OpenLIT's UI to start exploring performance metrics. Visit the OpenLIT Quickstart Guide for step-by-step details.
Integrate with existing Observability Tools: If you use tools like Grafana or DataDog, you can integrate the data collected by OpenLIT. For instructions on setting up these connections, check the OpenLIT Connections Guide.