Advanced RAG Solutions for the Enterprise

Advanced RAG Solutions for the Enterprise

We move beyond simple prototypes to build secure, accurate, and scalable Retrieval-Augmented Generation systems that truly understand your business data.

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From Hallucination to High-Fidelity Answers

Retrieval-Augmented Generation (RAG) promises to connect powerful LLMs to your private data. But simple RAG often fails in production, leading to inaccurate answers, poor performance, and security risks.

ActiveWizards architects and engineers the advanced RAG solutions that enterprises need. We solve the hard problems of data integration, accuracy, and real-time context to build AI systems you can trust.

Our Advanced RAG Capabilities

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Technologies

Elasticsearch is a search server which provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents

Python is a programming language that lets you work quickly and integrate systems more effectively

Neo4j is a highly scalable native graph database that leverages data relationships as first-class entities, helping enterprises build intelligent applications to meet today’s evolving data challenges.

Kubernetes Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.

LangChain is the essential framework for composing and deploying robust, context-aware applications powered by large language models.

LlamaIndex is the leading data framework for ingesting, structuring, and accessing private data for Retrieval-Augmented Generation (RAG) systems.

The Pinecone vector database provides the high-performance, scalable infrastructure needed for fast and accurate semantic search in AI applications.

Weaviate is an open-source, AI-native vector database that enables scalable semantic search and generative AI applications with a flexible GraphQL API.

Python is a programming language that lets you work quickly and integrate systems more effectively

Kubernetes Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications.

LangChain is the essential framework for composing and deploying robust, context-aware applications powered by large language models.

LlamaIndex is the leading data framework for ingesting, structuring, and accessing private data for Retrieval-Augmented Generation (RAG) systems.

The Pinecone vector database provides the high-performance, scalable infrastructure needed for fast and accurate semantic search in AI applications.

Weaviate is an open-source, AI-native vector database that enables scalable semantic search and generative AI applications with a flexible GraphQL API.

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Case studies

Engineering Intelligence in Action

Autonomous AI Agent for Codebase Analysis

We developed an AI-powered developer tool that ingests any GitHub repository, performs an automated architectural review, and provides an interactive chat for deep code Q&A, drastically accelerating developer onboarding and code comprehension.

Autonomous Agents for Strategic Competitor Intelligence

We engineered an autonomous AI system where a crew of specialized agents analyzes competitor websites, turning hours of manual research into an on-demand strategic report on SEO and marketing.

AI-Powered Data Governance & Security Platform

We developed an intelligent platform that automatically classifies unstructured data in over 70 languages, predicts its confidentiality level, and enforces data governance policies to meet GDPR requirements.

Real-Time Anomaly Detection for Patient Data Security

We built an AI-powered security platform for a healthcare startup that analyzes user activity logs in real time to detect and alert on suspicious behavior, protecting sensitive patient data.

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What our clients say

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Aegis

ArtofUs

tutegenomics

NYU

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