Generative AI with Growyt
Unlock the Power of Generative AI with Growyt
At Growyt, we’re transforming how businesses leverage their data with cutting-edge Generative AI solutions built on large language models (LLMs). Our AI-driven software empowers organizations to automate, optimize, and scale operations effortlessly.
Whether it’s automating candidate shortlisting, building intelligent chatbots using your internal data, or turning raw CSVs, PDFs, and text files into structured knowledge, Growyt makes it seamless. We specialize in Retrieval-Augmented Generation (RAG), NLP-to-SQL query generation, and natural language explanations of complex data — helping teams unlock insights without needing technical expertise.
What We Offer
AI copilots tailored to your internal data
Smart document ingestion and transformation
NLP-driven data querying & dashboard interaction
SQL generation and interpretation from natural language
Automated recruitment workflows with contextual filtering
Empower your teams to ask questions, get insights, and take action — all through a simple and secure AI interface trained on your business context.
Growyt GenAI – Where your data meets intelligent action.
The Growyt GenAI Process
Data Input Stage
User uploads or connects: - CSV, Excel, PDF, TXT - APIs (CRM, ERP) - Resume folders, Reports, etc.
Data Ingestion & Preprocessing
System parses and cleans data: - File parsers & converters - Auto-detect schema, columns - Unstructured → structured format
Embedding & Indexing Layer
Convert data into vector format for retrieval: - Chunking documents - Generating embeddings (e.g., OpenAI, Cohere) - Storing in vector DB (e.g., FAISS, Pinecone)
GenAI & Reasoning Layer
Intelligence applied: - RAG: Retrieval-Augmented Generation - NLP ↔ SQL conversion (natural language querying) - Candidate matching via semantic filters - Custom fine-tuned LLMs (optional)
Backend & Business Logic
API and server-side orchestration: - FastAPI / Django - Handles data access securely (RBAC) - Connects GenAI engine with frontend
User Interface & Output
Consumer interacts with results: - AI Chatbots (Copilots) - Smart dashboards - Instant answers from private data - Auto-generated SQL, charts, summaries
Monitoring & DevOps
Ensures platform stability and security: - Logs, Metrics (Prometheus/Grafana) - Continuous Deployment (GitHub Actions) - Isolation & compliance (SOC2/GDPR-ready)
Example Use Case: Candidate Shortlisting
Example Use Case: RAG Chatbot for HR Policies
Let’s say a company stores HR policies, employee handbooks, and compliance documents as PDFs in their internal database. Growyt can transform these into an intelligent, queryable knowledge base.
User Question
Employee asks: “How many paid leaves can a new employee take in their first 6 months?”
RAG Process
Growyt's system uses vector search to find relevant content, like: “New employees are entitled to 12 paid leave days during the first 6 months…”
AI Generates Answer
The LLM combines the question with the retrieved info to respond: “New employees can take up to 12 paid leaves in the first 6 months, as per the HR policy.”
Source Citation (Optional)
Growyt can also cite the source: “HR_Policy_2023.pdf, Section 4.2”