What is an AI Query Agent?
AI Query Agents are intelligent systems that take a user's question and intelligently search across documents, data sources, or APIs to retrieve relevant, accurate answers — not just generate fluff. Think of them as your AI-powered research analyst, knowledge base navigator, or internal support assistant.Built with RAG (Retrieval-Augmented Generation) and semantic search , they go beyond keyword matches to understand context and meaning .
Tech Stack & Integrations
LLMs:
OpenAI GPT-4, Claude, Mistral, Gemini, LLaMA
Vector DBs:
Pinecone, Weaviate, Qdrant, FAISS, Chroma
RAG Frameworks:
LlamaIndex, LangChain, Haystack
Connectors:
Zapier, Slack, Google Workspace, Notion, APIs
Frontends:
Webchat, Slackbot, Intranet widgets, Custom UI
Use Cases for AI Query Agents
Knowledge Base Assistants
Automatically respond to customer, employee, or user questions based on your documentation or help center.
Enterprise Data Search
Connect to PDFs, docs, spreadsheets, Notion, Confluence, or Google Drive and get instant, conversational access.
Research & Compliance Agents
Retrieve policy details, citations, or legal findings without manual digging.
E-commerce Search Bots
Let users ask product questions like “What are the best eco-friendly running shoes under $100?”
Developer Documentation Q&A
Auto-answer technical queries using your API docs, tutorials, and change logs.
🚀 Why Search.co?
⚡ Fast Deployment
Custom query agents live in days — not months.
🔗 Connected Everywhere
Sync with Notion, Google Drive, Airtable, CRMs, PostgreSQL, and more.
📚 Multimodal Input
Handle text, tables, code snippets, and structured data.
🔒 Private & Secure
We support on-prem or encrypted cloud deployments with access control.
📈 Optimized for Relevance
We fine-tune your prompt templates, embedding models, and chunking strategy for max precision.
How It Works
01. Embed Your Data
Upload or connect files (PDFs, docs, CSVs, URLs) or sync with live databases.
02. Index with Vector Search
Data is transformed into semantic embeddings using LLMs and stored in vector databases.
03. Ask Anything
The agent parses the user query, retrieves the most relevant chunks, and generates a response using RAG.
04. Cite & Highlight
Every answer includes clear citations to the source, improving accuracy and trust.
What they say about us
Syncs effortlessly with major programming languages
HTML
CSS
Phyton
News & articles
Oil & Gas Services Statistics Market Research Report
Gobal medical-technology (MedTech) market is estimated at ~US$668.2 billion in 2024, growing to ~US$694.7 billion
Frequently asked questions for enterprise search
Search.co is a unified platform for data extraction and ingestion. We provide high-performance proxy networks to collect data from anywhere on the web, and real-time AI-native pipelines to transform that data into actionable insights using SQL and LLM-powered logic.
Search.co is built for developers, data teams, growth marketers, AI researchers, and businesses that need structured, real-time data from external sources—without building and maintaining complex scraping or ingestion stacks.
We support a full range of proxies including residential, datacenter (IPv4 & IPv6), mobile (static & rotating), SOCKS5, and unlimited bandwidth proxies.
Yes. You can configure automatic rotation logic based on time, session, or custom rules to avoid IP bans and CAPTCHAs.
Oil & Gas Services Statistics Market Research Report
Gobal medical-technology (MedTech) market is estimated at ~US$668.2 billion in 2024, growing to ~US$694.7 billion
HealthCare/MedTech Market Research Report
Frequently asked questions for enterprise search
What is Search.co?
Search.co is a unified platform for data extraction and ingestion. We provide high-performance proxy networks to collect data from anywhere on the web, and real-time AI-native pipelines to transform that data into actionable insights using SQL and LLM-powered logic.
What is Search.co for?
Search.co is built for developers, data teams, growth marketers, AI researchers, and businesses that need structured, real-time data from external sources—without building and maintaining complex scraping or ingestion stacks.
What types of proxies do you offer?
We support a full range of proxies including residential, datacenter (IPv4 & IPv6), mobile (static & rotating), SOCKS5, and unlimited bandwidth proxies.
Can I rotate proxies automatically?
Yes. You can configure automatic rotation logic based on time, session, or custom rules to avoid IP bans and CAPTCHAs.
What is the difference between residential, datacenter, and mobile proxies?
What is the ingestion engine built on?
Frequently Asked Questions
What is Search.co?
Frequently asked questions for enterprise search
What is Search.co for?
Search.co is a unified platform for data extraction and ingestion. We provide high-performance proxy networks to collect data from anywhere on the web, and real-time AI-native pipelines to transform that data into actionable insights using SQL and LLM-powered logic.
What types of proxies do you offer?
Search.co is built for developers, data teams, growth marketers, AI researchers, and businesses that need structured, real-time data from external sources—without building and maintaining complex scraping or ingestion stacks.
Can I rotate proxies automatically?
We support a full range of proxies including residential, datacenter (IPv4 & IPv6), mobile (static & rotating), SOCKS5, and unlimited bandwidth proxies.
What is the difference between residential, datacenter, and mobile proxies?
Yes. You can configure automatic rotation logic based on time, session, or custom rules to avoid IP bans and CAPTCHAs.
What is the ingestion engine built on?
Residential Proxies use real devices with ISP-assigned IPs. Ideal for stealth scraping. Datacenter Proxies are faster and more cost-efficient but easier to detect. Mobile Proxies offer maximum trust for mobile-app scraping or anti-fraud use cases.
What formats and protocols are supported for ingestion?
Our ingestion engine uses a SQL-first approach, built with Apache Flink, GraphQL, and DataSQRL under the hood. You define transformations in SQL or the SQRL language; we handle scaling, streaming, and deployment.
Can I use LLMs in my pipeline?
We support Kafka, REST, Parquet, GraphQL, JDBC, flat files, and streaming event logs. You can also ingest directly from our proxy-extracted data streams.