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The Best of Keyword & Vector — Unified.
Combine the precision of traditional keyword search with the power of vector embeddings to deliver smarter, more relevant results across your documents, databases, and content.
What is Hybrid Search?
Agentic AI refers to intelligent systems that go beyond generating responses — they perceive goals, make decisions, and act autonomously across tools and environments. Unlike traditional chatbots or LLMs, agentic systems simulate reasoning, memory, and task orchestration to achieve outcomes with minimal human input.At Search.co, we help you design, build, and deploy agentic workflows — from research bots to fully autonomous pipelines powered by AI.
Stack & Features
Use Cases for Hybrid Search
Enterprise Knowledge Bases
Power internal wikis, SOPs, HR documents, and policy manuals with intelligent, relevant search.
Customer Support Search
Improve deflection with better self-serve answers in your help centers.
Legal & Compliance
Make policy and case search more accurate by combining contextual relevance with exact terminology.
E-commerce Catalogs
Help users find products by function, not just product titles or tags.
DevOps & Workflow Agents
Monitor logs, trigger alerts, make updates, and perform system tasks based on logic and data.
Why Hybrid Search Matters
Semantic Understanding
Catch queries like “How do I reset my password?” even if your docs say “account credential recovery.”
Exact Recall
Retrieve matches with exact technical terms, product SKUs, or legal phrases.
Context + Precision
Blend fuzzy and literal matches to serve results that make sense to humans and machines.
Ranked by Relevance
Use hybrid scoring models to prioritize what users actually want — not just what contains a term.
How Hybrid Search Works
01. Data Ingestion
Import PDFs, docs, web pages, structured datasets, or database content.
02. Dual Indexing
Your content is indexed in vector embeddings (for meaning) and BM25 keyword indices (for exact matches).
03. Query Fusion
When a user asks a question, both search methods run in parallel.
04. Smart Ranking
Combined results are merged and ranked using hybrid scoring to surface the most relevant answers.
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.