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You can view all the index documents using the
GPTListIndex class. You can create an instance of the
GPTListIndex class by passing in a list of documents, as shown in the example code below:
index = GPTListIndex(documents)
You can then use the
query() method to view all the documents in the index, as shown in the example code below:
response = index.query("<query_text>")You can also use the
load_langchain_documents() method to load data in LangChain document format, as shown in the example code below:
response = load_langchain_documents(load_kwargs)
You can also use the
load_data() method to load data from Faiss, as shown in the example code below:
response = load_data(query, id_to_text_map, k, separate_documents)
Finally, you can use the
QdrantReader class to retrieve documents from existing Qdrant collections, as shown in the example code below:
response = QdrantReader(host, port, grpc_port, prefer_grpc, https, api_key, prefix, timeout)
For more information, please refer to the
GPT Index Documentation (
https://gpt-index.readthedocs.io/en/latest/).
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