Using the LangChain ecosystem to build, test and evaluate AI applications
LangChain is one of the most popular AI development ecosystems in current times. Below are the slides from my talk at AI Camp about using Langchain to build GenAI based applications faster and more reliably. During the talk we touched on using:
Langserve and LangChain Templates to get started in your journey quickly. We also used it debug and test our application.
LangChain to quickly integrate our data with a couple of LLMs and create different chains to accomplish multiple tasks with the models
LangChain Hub to reuse our model prompts
LangSmith to trace the calls to the language model, monitor our application over time and evaluate our results toward various metrics (e.g.: Relevance, insensitivity)
Click on the image below to see the slides and also visit the repo to see the sample application code in GitHub
