Service Specification
AI-Powered Solutions
Implement custom LLMs and RAG semantic pipelines. Query enterprise databases, automate data extraction, and build chat systems.
OpenAI APIPinecone Vector DBLangChainNode.jsPostgreSQL
Key Solutions & Benefits
RAG Private Search
Answer customer queries by vector-searching internal PDFs and documents.
Automated Ticket Triage
Parse support emails, tag concerns, and draft replies instantly.
Data Structuring
Extract structured data from receipts, invoices, and message logs.
Delivery Framework
01Phase
Document Ingestion
Chunking data files and generating vector coordinates.
02Phase
Pinecone Database Setup
Deploying index schemas for semantic searches.
03Phase
Prompt Orchestration
Chaining OpenAI calls with local system data.
Service FAQs
Is our private data safe?
Yes. We configure pipelines that prevent LLM models from training on your private files, and enforce strict encryption schemas.
What is RAG?
Retrieval-Augmented Generation. It searches your company database for context, appending it to the LLM prompt to ensure accurate, cited answers.