3️⃣LangChain with RAGAS
LangChain: Evaluate with ragas
from langchain_community.document_loaders import DirectoryLoader
from langchain.text_splitter import RecursiveCharacterTextSplitter
from dotenv import load_dotenv
import os
load_dotenv()
api_key = os.getenv("OPENAI_API_KEY")Download & Load Dataset
Chunking
Embedding & Testset Generation
question
contexts
ground_truth
evolution_type
metadata
episode_done
Chroma Vector Store
RAG Prompt & Chains
Question & Ground_truth
Evaluate with ragas
question
answer
contexts
ground_truth
context_relevancy
context_precision
context_recall
faithfulness
answer_relevancy
Result Visulization

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