At iTechNotion, we specialize in building LLM-powered solutions enhanced with Retrieval-Augmented Generation (RAG). These systems understand context, access your proprietary knowledge, and generate accurate, reliable, and domain-specific responses.
RAG = LLM + Your Private Knowledge Base
Traditional large language models (LLMs) rely only on pre-trained data. RAG-powered systems go further by:
OpenAI
GPT-4
Claude
Gemini
LangChain
LlamaIndex
Semantic Kernel
Pinecone
Weaviate
Redis
Qdrant
n8n
Zapier
Make.com
Gmail
Notion
HubSpot
Slack
Google Sheets
APIs
Understand your data, needs, and business rules
Index files, folders, tools (Notion, Airtable, PDF, DB)
Configure LangChain/LlamaIndex pipeline with filters, logic
Run queries, compare hallucination rates, adjust chunking & embeddings
Scalable, trackable, monitored hosting setup
We are committed to providing our clients with the top solutions through global business ventures.