Explainer: Production-Grade AI-Powered Search, Recommendations, and RAG Solutions
A clear introduction to the enterprise-scale AI systems we build at Searchplex.
AI-Powered Search
AI-powered search combines traditional keyword-based retrieval with machine learning models to understand the intent behind queries, rank results more effectively, and extract insights from structured and unstructured data alike.
AI Recommendations
Recommendation systems use AI to predict what users want next—whether that's a document, product, or policy insight—based on behavior, metadata, and content features.
Retrieval-Augmented Generation (RAG)
RAG stands for Retrieval-Augmented Generation. It combines a document retriever with a language model to answer questions based on external sources.
At Searchplex, we bring that same power to your private data, securely and at scale.
If you've used ChatGPT or Perplexity, you've experienced RAG:
What is Agentic RAG?
Agentic RAG combines retrieval and generation with autonomous reasoning and action. Instead of just answering a question, the system can plan multi-step tasks, call APIs, and execute workflows — all while grounding each step in your trusted data.
What Do We Mean by "Production-Grade"?
A lot of companies can build AI prototypes. We build systems that run in production, under real-world constraints, with measurable business outcomes.
Scalable
Proven architectures that maintain speed and relevance even at billions of documents and heavy concurrent query loads.
Enterprise Security
SSO, LDAP, RBAC, and ACL support
Privacy-aware
Deployable in your choice of environment—meeting strict compliance, governance, and data sovereignty requirements.
Business-Aligned
Integrates with your KPIs, evaluation metrics, and feedback loops
Auditable by Design
Every answer and ranking decision is traceable
Common Questions
Can RAG work with PDFs and scanned files?
Yes. We use OCR and visual language models like ColPali to extract and understand complex documents.
What types of LLMs do you support?
We support 3rd party API-based LLMs, private deployments of 3rd party LLMs in a VPC, and fully on-prem open-source models.
How are your solutions packaged and deployed?
Our systems can run on public cloud, private cloud, or fully on-prem infrastructure—tailored to your governance and compliance needs.
How is this different from adding ChatGPT to my website?
ChatGPT is trained on general knowledge and uses public data. Our systems are tailored to your business logic, data, and infrastructure—and every answer is traceable.
See How It Works On Your Data
Book a strategy session to explore how AI-powered search and RAG can improve decision-making, reduce research time, and boost productivity for your teams.