rag-pipeline-builder
RAG Pipeline Builder
Design end-to-end RAG pipelines for accurate document retrieval and generation.
Pipeline Architecture
Documents → Chunking → Embedding → Vector Store → Retrieval → Reranking → Generation
Chunking Strategy
# Semantic chunking (recommended)
from langchain.text_splitter import RecursiveCharacterTextSplitter
splitter = RecursiveCharacterTextSplitter(
chunk_size=1000, # Characters per chunk
chunk_overlap=200, # Overlap between chunks
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