RAG & Knowledge Graphs

Eliminate hallucinations.
We connect your private data to LLMs using Vector Search and Knowledge Graphs, ensuring your AI answers with factual, real-time accuracy.

Vector Databases
Graph RAG
Data Pipelines
Entity Extraction
Real-Time Search
Ontology Design
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Data Intelligence Capabilities

Models are only as good as the data you feed them. We build the pipelines that turn your raw documents into structured, searchable memory.

Structured Context
Knowledge Graph Construction

We map the relationships between your data points (People, Products, Locations), allowing the AI to understand complex "cause and effect" logic.

Neo4j / TigerGraph Setup
Relationship Mapping
Semantic Linking
Graph Schema Design
Complex Querying
Vector Search
RAG Implementation

We ingest your PDFs, emails, and databases into Vector Stores (Pinecone/Milvus),
enabling the model to "read" your documents before answering.

Document Chunking
Vector Embedding
Semantic Search
Source Citation
Real-time Indexing
Data Structuring
Entity Extraction & Ontology

We turn unstructured text into structured data. We define business logic (Ontologies) and automatically extract key entities like Names, Dates, and SKUs.

Named Entity Recognition
Taxonomy Definition
Automated Tagging
Business Logic Mapping
Unstructured to Structured
Forecasting
Predictive Analytics

We use your historical data to train predictive models that forecast trends, churn, or demand, integrating these insights directly into your AI agents.

Time-Series Forecasting
Churn Prediction
Demand Planning
Anomaly Detection
ROI Modeling
ETL Pipelines
Data Cleaning for AI

Garbage in, garbage out. We build automated ETL pipelines that sanitize, de-duplicate, and normalize your data before it ever touches the AI.

De-duplication
PII Redaction
Format Normalization
Missing Value Imputation
Automated Quality Checks

The End of Hallucinations

General models guess. RAG models look it up.
By grounding your AI in your own data, we ensure every answer is fact-checked, cited, and 100% verifiable.

Why Choose Acts

We Engineer the Data, Not Just the Prompts.

Hybrid Architecture

We combine Vector Search (Speed) with Knowledge Graphs (Logic).

Data Engineers

We fix the messy data plumbing that other AI agencies ignore.

Scalable Pipelines

We build ETL workflows that handle terabytes of ingestion daily.

Transparent AI

We show exactly which document was used to generate every answer.

Industries

We work across high-impact industries, combining deep domain knowledge with cutting-edge design and AI.

AI & Machine

Designing intuitive interfaces for complex AI systems, and NLP products. We bridge human-centered design with technical depth to deliver real-world results.

FinTech

Our team builds clear, compliant, and conversion-optimized financial experiences—designed to build trust and perform at scale.

EdTech

Designing education products for engagement and clarity—across mobile, desktop, and LMS platforms. We create UX that empowers learning, not distracts from it.

Healthcare

Building patient-friendly, compliant, and trustworthy digital experiences. From medtech SaaS to wellness apps, we blend usability with accessibility.

Web3 & Blockchain

We design products for decentralized platforms, NFT ecosystems, and token-based systems. With a focus on clarity and community, we help Web3 startups launch with confidence.

E-commerce

From DTC brands to enterprise platforms, we create seamless shopping experiences. Our work supports product discovery, sales, retention, and end-to-end user journeys.

Real Estate

Designing digital platforms that bring property and people together. We craft intuitive property search, listings, and CMS-powered backends for real estate success.

See How We Help Teams Win

Case Studies & Insights

we partner with ambitious teams to solve real problems, ship better products, and drive lasting results.

Frequently Asked Questions

Here is how we handle risk, architecture, and compliance.

Will strict security (DLP) slow down my employees?
What is your response time for a security incident?
We have old legacy infrastructure. Can you still help?
Will deploying AI trigger compliance issues (GDPR/HIPAA)?
Who will actually be doing the work?
Do you replace our internal IT team?
Can we use AI without sharing data with public models like ChatGPT?
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