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Smarter Answers from Complex Data — Instantly.
Deploy AI-powered query agents that search, retrieve, and respond using your internal or external data. From documents to databases, give users natural-language access to what matters.
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
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.
News & articles
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Frequently Asked Questions
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?
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 is the ingestion engine built on?
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.
What formats and protocols are supported for ingestion?
We support Kafka, REST, Parquet, GraphQL, JDBC, flat files, and streaming event logs. You can also ingest directly from our proxy-extracted data streams.
Can I use LLMs in my pipeline?
Yes. Our architecture supports Retrieval-Augmented Generation (RAG), agentic workflows, and transformation agents using custom or embedded LLMs.
What programming languages are supported?
You can connect Search.co to your stack via Python, Node.js, Go, .NET, Ruby, and more. We offer client libraries and REST/GraphQL APIs.
Is this suitable for real-time data?
Absolutely. The pipeline is built for both batch and real-time processing with millisecond-latency for dashboards, alerts, or APIs.
Can I deploy on my own infrastructure?
Yes. The ingestion engine is containerized and deployable on Kubernetes or Docker. For proxy routing, we handle the IP infrastructure on our end.
Is there bandwidth or request throttling?
No. We offer plans with unlimited bandwidth and support high-throughput scraping across geographies and endpoints.
Does Search.co integrate with BI tools?
Yes. You can pipe clean data into Looker, Tableau, Power BI, or any SQL-based BI tool via JDBC or GraphQL.
Can I use Search.co for SEO tracking and SERP scraping?
Yes. You can monitor rankings, ads, featured snippets, and competitor content at scale using rotating residential or mobile proxies.
Is this good for brand monitoring or product scraping?
Yes. You can monitor counterfeit listings, reseller pricing, product reviews, and inventory across platforms—completely anonymously.
Does Search.co support RAG and retrieval for AI agents?
Yes. You can combine vector search with live ingestion to power agentic AI, personalized recommendations, and context-aware chat.
What industries do you serve?
We work with companies across SaaS, fintech, healthcare, e-commerce, legal, and media—basically any org that needs external data in real time.
Is the platform secure and compliant?
Yes. We follow best practices in data encryption, access control, and logging. Ingestion pipelines are deployable to HIPAA-, SOC 2-, or GDPR-compliant environments.
Will proxies leak my identity or IP?
No. All proxies are fully anonymized and support rotating headers, user agents, and advanced fingerprinting resistance.