docs/examples/data_connectors/ObsidianReaderDemo.ipynb
<a href="https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/examples/data_connectors/ObsidianReaderDemo.ipynb" target="_parent"></a>
If you're opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.
%pip install llama-index-readers-obsidian
!pip install llama-index
%env OPENAI_API_KEY=sk-************
import logging
import sys
logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
from llama_index.readers.obsidian import ObsidianReader
from llama_index.core import VectorStoreIndex
documents = ObsidianReader(
"/Users/hursh/vault"
).load_data() # Returns list of documents
index = VectorStoreIndex.from_documents(
documents
) # Initialize index with documents
# set Logging to DEBUG for more detailed outputs
query_engine = index.as_query_engine()
res = query_engine.query("What is the meaning of life?")
res.response