AI Engineering RAG Pipeline
Enterprise-grade search integration using semantic indexing and re-ranking models.
Workflow Sequence
01
Action Node 1
Parse document layouts (PDF tables) using LlamaIndex indexer
02
Action Node 2
Vectorize text chunks using Sentence-Transformers
03
Action Node 3
Store embeddings in Qdrant Vector database
04
Action Node 4
Query vectors, rerank using Cohere Rerank, and inject top 3 into Claude API context.