What is LlamaIndex?
Data framework for building RAG pipelines and LLM applications over custom data. Connects LLMs to external data sources.
How It Works
Scavio connects to LlamaIndex via a custom tool definition. Once connected, your LlamaIndex agent can search Google, Amazon, YouTube, and Walmart in real time. Each search returns structured JSON — no HTML parsing, no scraping infrastructure.
Setup
Bash
pip install llama-index requestsCode Example
Here is a complete LlamaIndex integration with 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_web(query: str) -> str:
"""Search the web 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_web)
llm = OpenAI(model="gpt-4o")
agent = ReActAgent.from_tools([tool], llm=llm, verbose=True)
response = agent.chat("What are the best noise cancelling headphones?")
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_web(query: str) -> str:
"""Search the web 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_web)
llm = OpenAI(model="gpt-4o")
agent = ReActAgent.from_tools([tool], llm=llm, verbose=True)
response = agent.chat("What are the best noise cancelling headphones?")
print(response)Available Platforms
Once connected, your LlamaIndex agent has access to all four Scavio platforms:
- Google — Web search with knowledge graph, PAA, and AI overviews
- Amazon — Product search with prices, ratings, and reviews
- Reddit — Community, posts & threaded comments from any subreddit
- YouTube — Video search with transcripts and metadata
- Walmart — Product search with pricing and fulfillment data
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.