Learning from Bing Search
UFO provides the capability to reinforce the AppAgent by searching for information on Bing to obtain up-to-date knowledge for niche tasks or applications which beyond the AppAgent
's knowledge.
Mechanism
Upon receiving a request, the AppAgent
constructs a Bing search query based on the request and retrieves the search results from Bing. The AppAgent
then extracts the relevant information from the top-k search results from Bing and generates a plan based on the retrieved information.
Activate the Learning from Bing Search
Step 1: Obtain Bing API Key
To use the Bing search, you need to obtain a Bing API key. You can follow the instructions on the Microsoft Azure Bing Search API to get the API key.
Step 2: Configure the AppAgent
Configure the following parameters to allow UFO to use online Bing search for the decision-making process:
Configuration Option | Description | Type | Default Value |
---|---|---|---|
RAG_ONLINE_SEARCH |
Whether to use the Bing search | Boolean | False |
BING_API_KEY |
The Bing search API key | String | "" |
RAG_ONLINE_SEARCH_TOPK |
The topk for the online search | Integer | 5 |
RAG_ONLINE_RETRIEVED_TOPK |
The topk for the online retrieved searched results | Integer | 1 |
Reference
Bases: Retriever
Class to create online retrievers.
Create a new OfflineDocRetriever. :query: The query to create an indexer for. :top_k: The number of documents to retrieve.
Source code in rag/retriever.py
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get_indexer(top_k)
Create an online search indexer.
Parameters: |
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Returns: |
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Source code in rag/retriever.py
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