Beta
%%capture
%pip install llama-index openai pypdf
Loading Data and Creating the Index
from llama_index import TreeIndex, SimpleDirectoryReader
resume = SimpleDirectoryReader("Private-Data").load_data()
new_index = TreeIndex.from_documents(resume)
Running Query on text-davinci-003
query_engine = new_index.as_query_engine()
response = query_engine.query("When did Abid graduated?")
print(response)
response = query_engine.query("What is the name of certification that Abid received?")
print(response)
Saving and Loading the Context
new_index.storage_context.persist()
from llama_index import StorageContext, load_index_from_storage
storage_context = StorageContext.from_defaults(persist_dir="./storage")
index = load_index_from_storage(storage_context)
query_engine = index.as_query_engine()
response = query_engine.query("What is Abid's job title?")
print(response)
Chatbot
query_engine = index.as_chat_engine()
response = query_engine.chat("What is the job title of Abid in 2021?")
print(response)
response = query_engine.chat("What else he do during that time?")
print(response)