Traceback (most recent call last):
File "/home/shawn/llamaindex/2_read_documents_from_db.py", line 21, in <module>
index = VectorStoreIndex.from_documents(
File "/home/shawn/llamaindex/venv/lib/python3.10/site-packages/llama_index/core/indices/base.py", line 136, in from_documents
docstore.set_document_hash(doc.get_doc_id(), doc.hash)
AttributeError: 'tuple' object has no attribute 'get_doc_id'import chromadb
from llama_index.core import VectorStoreIndex
from llama_index.vector_stores.chroma import ChromaVectorStore
from llama_index.core import StorageContext
# initialize client, setting path to save data
db = chromadb.PersistentClient(path="./talents_db")
# create collection
chroma_collection = db.get_or_create_collection("business_analyst")
# assign chroma as the vector_store to the context
vector_store = ChromaVectorStore(chroma_collection=chroma_collection)
storage_context = StorageContext.from_defaults(vector_store=vector_store)
# create your index
index = VectorStoreIndex.from_documents(
vector_store, storage_context=storage_context
)
# create a query engine and query
query_engine = index.as_query_engine()
response = query_engine.query("What are the main steps for requirements engineering?")
print(response)