Knowledge Base: Auto-RAG
Building autonomous brains by syncing PDF and Notion data to Vector Stores.
rag_engine_core_v2
1 / 4
VECTORIZING DATA...
📄 ➡️ 🧠 ➡️ 💬
LOG:Step 1: Load and Chunk. Large PDFs exceed LLM tokens, so we split them into overlap chunks.
Pipeline Steps
Step 1: Recursive Chunking
Using libraries like LangChain to scrape text while maintaining metadata (page numbers, source URLs). Essential for source attribution.
RAG Achievements
📄
Data Miner
Master PDF chunking & cleaning.
💾
Vector Voyager
Embed data into Pinecone/Supabase.
📝
Notion Ninja
Automate workspace ingestion via API.