What is Retrieval-Augmented Generation (RAG)?
RAG is a framework that enhances large language models (LLMs) by connecting them to live data sources. Instead of relying solely on static training data, RAG systems retrieve relevant, up-to-date information at the time of the query — producing grounded, factual, and context-aware responses. At Search.co, we help you implement, scale, and optimize RAG systems using vector databases, embeddings, high-speed proxies, and structured retrieval workflows.
Tech Stack We Support
Vector DBs
Pinecone, Weaviate, Qdrant, Milvus
LLMs:
OpenAI, Claude, Mistral, Ollama, LangChain
Frameworks:
LangChain, LlamaIndex, Haystack
Data Sources:
Web scraping, APIs, internal knowledge bases
Use RAG For:
Internal Knowledge Assistants
Train AI on internal docs + real-time systems
Customer Support Automation
Build smarter bots with current data access
Legal & Compliance Research
Retrieve factual documents and summarize with LLMs
Healthcare & Scientific AI
Ensure generative outputs are grounded in real, peer-reviewed sources
Enterprise Search Engines
Semantic search combined with conversational AI
Why Choose Search.co for AI/RAG?
🔍 Custom Retrieval Pipelines
We design retrieval layers tailored to your domain, data types, and latency needs.
📦 Vector Database Integration
Embed and index high-dimensional data with tools like Pinecone, Weaviate, or Qdrant.
🌐 Data Collection at Scale
Use our proxies to scrape and feed accurate, real-time knowledge into your AI system.
🧠 LLM Compatibility
Our RAG stack works with OpenAI, Mistral, Cohere, Claude, and open-source models.
📈 Production-Ready Architecture
From prototype to scale, we help you launch AI tools with robust RAG workflows.
How It Works
01. Embed Your Documents
Convert unstructured text into vector embeddings stored in a vector DB.
02. Add Real-Time Retrieval
Fetch relevant results from your database or external sources via proxies or APIs.
03. RAG Pipeline Inference
Pass the retrieved data to an LLM for grounded, intelligent response generation.
04. Deploy & Iterate
Test, improve, and scale your RAG system with our support.
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.