Monitor LangChain Vectorstores

When you instrument the app with Python Agent, it captures the following for Vectorstores:

• For langchain_community and langchain_{vendor} vectorstores, Python Agent captures the following metrics:

  • Search Score
  • Average Response Time (ms)
  • Errors
  • Calls
  • Vector Insertion Count
  • Vector Deletion Count
  Note:

  By default, Splunk AppDynamics SaaS capture the following metrics for langchain_{vendor} vectorstores:

  • langchain_milvus
  • langchain_chroma
  • langchain_postgres

  However, you can set the langchain-vectorstores-instrumented-modules flag to capture the metrics from the specific LangChain vendor in /path/to/appdynamics.cfg. For more information, see [instrumentation].

• Exit calls to vector databases: pgvector and chroma.

To capture PGVector and Chroma vectorstores request and response for in snapshot exit call detail, set the enable-genai-data-capture flag to true in the /path/to/appdynamics.cfg file of the Python Agent. See [instrumentation].