Knowledge Base (RAG) that instantly answers questions from data by Khalil AbdelhamidKnowledge Base (RAG) that instantly answers questions from data by Khalil Abdelhamid
Knowledge Base (RAG) that instantly answers questions from dataKhalil Abdelhamid
Cover image for Knowledge Base (RAG) that instantly answers questions from data
Searching through scattered PDFs, Excel reports, and scanned images wastes hours daily. This project solves that with a self-maintaining AI system that answers questions instantly using three advanced retrieval engines. WHAT SETS THIS APART: ► Hybrid Search + Cohere Reranker v3.5 — Combines keyword and semantic search, then reranks results for maximum precision. ► GraphRAG (LightRAG) — Builds a live knowledge graph across your documents so the AI understands relationships between entities across multiple files. (Standard/Advanced) ► SQL RAG Agent — Ingests Excel and Google Sheets into Supabase PostgreSQL and answers numerical questions with AI-generated SQL. (Advanced) ► OCR Pipeline — Extracts text from scanned PDFs and images before indexing. Unsearchable files become searchable. (Standard/Advanced) ► Auto-Sync — Add, update, or delete a file in Google Drive and all vector stores update automatically. Zero manual work. DELIVERABLE: Complete n8n JSON workflow + setup documentation. You own the code, run it on your own n8n instance, and pay no monthly subscription to me
Example work
Agentic RAG – GraphRAG, SQL,
Agentic RAG – GraphRAG, SQL,
Khalil's other services
Cover image for Fix your broken n8n workflows to stop errors and save time
Fix your broken n8n workflows to stop errors and save timeContact for pricing
Contact for pricing
Duration1 week
Tags
Google Drive
Google Gemini
N8N
PostgreSQL
Supabase
rag
Service provided by
Khalil Abdelhamid Algiers, Algeria
Knowledge Base (RAG) that instantly answers questions from dataKhalil Abdelhamid
Contact for pricing
Duration1 week
Tags
Google Drive
Google Gemini
N8N
PostgreSQL
Supabase
rag
Cover image for Knowledge Base (RAG) that instantly answers questions from data
Searching through scattered PDFs, Excel reports, and scanned images wastes hours daily. This project solves that with a self-maintaining AI system that answers questions instantly using three advanced retrieval engines. WHAT SETS THIS APART: ► Hybrid Search + Cohere Reranker v3.5 — Combines keyword and semantic search, then reranks results for maximum precision. ► GraphRAG (LightRAG) — Builds a live knowledge graph across your documents so the AI understands relationships between entities across multiple files. (Standard/Advanced) ► SQL RAG Agent — Ingests Excel and Google Sheets into Supabase PostgreSQL and answers numerical questions with AI-generated SQL. (Advanced) ► OCR Pipeline — Extracts text from scanned PDFs and images before indexing. Unsearchable files become searchable. (Standard/Advanced) ► Auto-Sync — Add, update, or delete a file in Google Drive and all vector stores update automatically. Zero manual work. DELIVERABLE: Complete n8n JSON workflow + setup documentation. You own the code, run it on your own n8n instance, and pay no monthly subscription to me
Example work
Agentic RAG – GraphRAG, SQL,
Agentic RAG – GraphRAG, SQL,
Khalil's other services
Cover image for Fix your broken n8n workflows to stop errors and save time
Fix your broken n8n workflows to stop errors and save timeContact for pricing
Contact for pricing