What is LlamaIndex?
Data framework for building RAG pipelines and LLM applications over custom data. Connects LLMs to external data sources.
Searching Google Scholar with LlamaIndex
This integration lets your LlamaIndex agent search Google Scholar in real time via the Scavio API. The agent gets back structured JSON with paper title, authors, citation count, abstract snippet — ready for reasoning and decision-making.
Setup
Bash
pip install llama-index requestsCode Example
Here is a complete LlamaIndex agent that searches Google Scholar using Scavio:
Python
from llama_index.core.tools import FunctionTool
from llama_index.llms.openai import OpenAI
from llama_index.core.agent import ReActAgent
import requests
def search_google_scholar(query: str) -> str:
"""Search Google Scholar for real-time results."""
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
json={"query": query},
)
return str(response.json())
tool = FunctionTool.from_defaults(fn=search_google_scholar)
llm = OpenAI(model="gpt-4o")
agent = ReActAgent.from_tools([tool], llm=llm, verbose=True)
response = agent.chat("retrieval augmented generation 2024")
print(response)Full Working Example
A production-ready example with error handling:
Python
from llama_index.core.tools import FunctionTool
from llama_index.llms.openai import OpenAI
from llama_index.core.agent import ReActAgent
import requests
def search_google_scholar(query: str) -> str:
"""Search Google Scholar for real-time results."""
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
json={"query": query},
)
return str(response.json())
tool = FunctionTool.from_defaults(fn=search_google_scholar)
llm = OpenAI(model="gpt-4o")
agent = ReActAgent.from_tools([tool], llm=llm, verbose=True)
response = agent.chat("retrieval augmented generation 2024")
print(response)Pricing
Scavio offers a free tier with 500 credits/month (1 credit per search). No credit card required. This is enough to build and test your LlamaIndex integration. Paid plans start at $30/month for higher volumes.