cr (#6)

Co-authored-by: Jerry Liu <jerry@robustintelligence.com>

loader_hub/weaviate/README.md

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+# Weaviate Loader
+
+The Weaviate Loader returns a set of texts corresponding to embeddings retrieved from Weaviate.
+The user initializes the WeaviateReader with authentication credentials. 
+They then pass in a class_name + properties to fetch documents, or pass in a raw GraphQL query.
+
+## Usage
+
+Here's an example usage of the PineconeReader.
+
+```python
+import weaviate
+from gpt_index import download_loader
+import os
+
+WeaviateReader = download_loader('WeaviateReader')
+
+# See https://weaviate.io/developers/weaviate/current/client-libraries/python.html
+# for more details on authentication
+resource_owner_config = weaviate.AuthClientPassword(
+  username = "<username>", 
+  password = "<password>", 
+)
+
+# initialize reader
+reader = WeaviateReader("https://<cluster-id>.semi.network/", auth_client_secret=resource_owner_config)
+
+# 1) load data using class_name and properties
+# docs = reader.load_data(
+#    class_name="Author", properties=["name", "description"], separate_documents=True
+# )
+
+documents = reader.load_data(
+    class_name="<class_name>", 
+    properties=["property1", "property2", "..."], 
+    separate_documents=True
+)
+
+# 2) example GraphQL query
+# query = """
+# {
+#   Get {
+#     Author {
+#       name
+#       description
+#     }
+#   }
+# }
+# """
+# docs = reader.load_data(graphql_query=query, separate_documents=True)
+
+query = """
+{
+  Get {
+    <class_name> {
+      <property1>
+      <property2>
+      ...
+    }
+  }
+}
+"""
+
+documents = reader.load_data(graphql_query=query, separate_documents=True)
+
+
+
+```