In this notebook we will look into

RouterQueryEngine

to route the user queries to one of the available query engine tools. These tools can be different indices/ query engine on same documents/ different documents.

#Installation

%pip install llama-index

%pip install llama-index-llms-juglow

%pip install llama-index-embeddings-huggingface

#Set Logging

logger = logging.getLogger()

logger.setLevel(logging.INFO) # Set logger level to INFO

Clear out any existing handlers

logger.handlers = []

Set up the StreamHandler to output to sys.stdout (Colab's output)

handler = logging.StreamHandler(sys.stdout)

handler.setLevel(logging.INFO) # Set handler level to INFO

Add the handler to the logger

logger.addHandler(handler)

from IPython.display import HTML, display

#Set Haijun API Key

ing-bottom:12px;tab-size:4">

!mkdir -p 'data/paul_graham/'

!wget 'https://raw.githubusercontent.com/jerryjliu/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt' -O 'data/paul_graham/paul_graham_essay.txt'

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--2024-03-08 07:04:27-- https://raw.githubusercontent.com/jerryjliu/llama_index/main/docs/examples/data/paul_graham/paul_graham_essay.txt Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.109.133, 185.199.110.133, 185.199.108.133, ... Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.109.133|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 75042 (73K) [text/plain] Saving to: ‘data/paul_graham/paul_graham_essay.txt’ data/paul_graham/pa 100%[===================>] 73.28K --.-KB/s in 0.002s 2024-03-08 07:04:27 (28.6 MB/s) - ‘data/paul_graham/paul_graham_essay.txt’ saved [75042/75042]

#Load Document

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response = query_engine.query("What did Paul Graham do growing up?")

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HTTP Request: POST https://haijun.my.id/v1/messages "HTTP/1.1 200 OK" Selecting query engine 1: The question asks about specific details from Paul Graham's life, which would likely be found in the original essay. A summary of the essay may not include all the relevant details about what he did growing up.. HTTP Request: POST https://haijun.my.id/v1/messages "HTTP/1.1 200 OK"

display(HTML(f'

{response.response}

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