pip install langchain-cala

import os
os.environ["CALA_API_KEY"] = "your-api-key"

from langchain_cala import CalaRetriever

retriever = CalaRetriever(api_key="your-api-key")

from langchain_cala import CalaRetriever

retriever = CalaRetriever(api_key="your-api-key")
docs = retriever.invoke("Which EU AI startups raised funding in 2024?")

for doc in docs:
    print(doc.page_content)
    print(doc.metadata)  # includes 'verified', 'source', 'explainability'

retriever = CalaRetriever(api_key="your-api-key", mode="query")
docs = retriever.invoke("Mistral.founded.year")

retriever = CalaRetriever(api_key="your-api-key", mode="entities")
docs = retriever.invoke("Factorial HR")

from langchain_cala import CalaRetriever
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.runnables import RunnablePassthrough
from langchain_openai import ChatOpenAI

retriever = CalaRetriever(api_key="your-api-key")

prompt = ChatPromptTemplate.from_template(
    "Answer the question based only on the following context:\n\n{context}\n\nQuestion: {question}"
)

chain = (
    {"context": retriever, "question": RunnablePassthrough()}
    | prompt
    | ChatOpenAI()
    | StrOutputParser()
)

chain.invoke("Who are the key players in European AI infrastructure?")