The Search API Built for Retrieval Augmented Generation
Ground your LLMs with real-time web data. TOON format reduces token consumption by 60%. Sub-second responses. Works with LangChain, LlamaIndex, CrewAI, and any framework that needs web search.
Why RAG Engineers Choose Searlo
Every feature is optimized for the RAG workflow: search → retrieve → chunk → embed → generate.
TOON Format — 60% Fewer Tokens
Our Token-Optimized Output Notation strips HTML noise and delivers clean, structured text that reduces LLM token consumption by 60% compared to raw HTML.
Sub-Second Grounding
Average response time of ~300ms means your RAG pipeline gets fresh web data without bottlenecking the user experience. Real-time, not cached.
Structured JSON Output
Every response includes title, snippet, URL, and full content in clean JSON. Ready for chunking, embedding, and vector store ingestion.
150+ Countries & Languages
Localized search results for global RAG applications. Specify country, language, and location for contextually relevant grounding data.
99.99% Uptime SLA
Production-grade reliability for mission-critical RAG systems. Your AI agent will always have access to fresh web data.
Credits Never Expire
Pay-once model starting at $2.99. No monthly fees eating into your RAG infrastructure budget. Scale at your own pace.
Drop-In Framework Integration
Works with every major AI framework out of the box.
LangChain
Drop-in WebSearchTool compatible with LangChain agents and chains
from langchain_community.utilities import SearloSearchAPIWrapper
search = SearloSearchAPIWrapper(api_key="your_key")
results = search.results("latest AI research", num_results=5)LlamaIndex
Web search data loader for LlamaIndex RAG pipelines
from llama_index.tools import SearloSearchTool
tool = SearloSearchTool(api_key="your_key")
docs = tool.load_data("your search query")CrewAI
Search tool for CrewAI multi-agent research workflows
from crewai_tools import SearloSearchTool
search_tool = SearloSearchTool(api_key="your_key")
# Add to your CrewAI agent's tool listHow Searlo Fits Your RAG Pipeline
User Query
User asks your AI application a question requiring current information
Searlo Web Search
Your app calls Searlo API — gets relevant web results in ~300ms with TOON format
Chunk & Embed
Clean TOON output is ready for chunking — no HTML parsing needed. 60% fewer tokens.
Context Injection
Retrieved web context is injected into LLM prompt alongside your domain knowledge
Generate Answer
LLM generates a grounded, accurate, up-to-date response with real source citations
RAG-Optimized Pricing
Most RAG applications make 5-20 search calls per user query. At Searlo's pricing, that's $0.001-0.006 per user interaction — 10-50x cheaper than competitors.
Tavily
$5.00/1K
16x more
SerpAPI
$5.00/1K
16x more
Searlo
$0.30/1K
Best value
Frequently Asked Questions
What is the best search API for RAG pipelines?+
Searlo is purpose-built for RAG. The TOON output format reduces LLM token consumption by 60% compared to parsing raw HTML. Responses arrive in ~300ms, and structured JSON output is ready for chunking and embedding without extra preprocessing.
How does TOON format help with RAG?+
TOON (Token-Optimized Output Notation) strips HTML tags, navigation chrome, ads, and boilerplate from search results. You get clean, structured text that's ready for embedding — saving 60% on LLM tokens and improving retrieval quality by removing noise.
Can I use Searlo with LangChain and LlamaIndex?+
Yes. Searlo works as a custom tool in LangChain agents, a FunctionTool in LlamaIndex, and a BaseTool in CrewAI. The REST API is framework-agnostic — any HTTP client works. See our Integrations page for code examples.
How much does a RAG search pipeline cost with Searlo?+
Most RAG apps make 5-20 searches per user query. At Searlo's Builder plan ($0.30/1K), that's $0.0015-$0.006 per interaction. The free tier includes 3,000 credits that never expire — enough to build and test your pipeline.
Does Searlo support real-time search for RAG?+
Yes. Every Searlo search returns live Google results, not cached data. This is critical for RAG applications that need current information — news, stock data, recent events, or updated documentation.
Ground Your AI with Real-Time Web Data
Join AI engineers building production RAG systems with Searlo. 3,000 free credits, no credit card required.
Start Building Your RAG Pipeline