raptor
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The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
I encountered this error when I was adding text. Hope to get a solution to deal with this error.Thank you very much. Traceback (most recent call last): File "/home/jyc23/raptor-master/demo/newdemo.py", line...
 Should [this line](https://github.com/parthsarthi03/raptor/blob/master/demo.ipynb) of code be modified as follows? `summary = outputs[0]["generated_text"][len(prompt):].strip()`
Hi, thanks for the code. I want to understand why any vector database is not implemented for storing the embeddings for fast retrieval as we do in conventional RAG. I...
Hi team, currently I am building with raptor to achieve the open-domain QA as following: we have data stored as question-answer pair, and when user have a input query, I...
I am trying to build a tree setting num_layers=3. When I access to num_layers with RA.tree.num_layers, the value 1 is given, so the three has only one layer. It seems...
I tried with the following configuration, but it doesn't work. os.environ["OPENAI_API_TYPE"] = "azure" os.environ["OPENAI_API_BASE"] = "https://proxy url" os.environ["OPENAI_API_KEY"] = "key" os.environ["OPENAI_API_VERSION"] = "version" Traceback (most recent call last): File "c:\GPT\raptor\raptor-39\lib\site-packages\httpx\_transports\default.py",...
Hi team, really awesome library. Is there a way to return the source text to be used in the retrieval as source citation? Similar to llama_index's CitationQueryEngine.
In the paper's experimental section, is the tree constructed using multiple documents or just a single document? Based on the code, it appears that a tree can only be constructed...
Hello, I used the demo notebook you provided with some questions. Most of the time the model cannot answer the questions that we can find the answers from the sample's...