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Tagged: docling
RAG-Anything on 65 Wine Books: Where Graph Retrieval Wins and Fails
A hands-on test of RAG-Anything's knowledge graph on 65 wine PDFs: parser choice, costs, graph versus vector answers, and the sparkling wine blind spot.
12 min readQuality-Aware RAG Ingestion: Routing Documents by Readability
A declarative docling-pipelines flow that scores language, duplicates and Flesch readability, then sends documents to two OpenSearch indexes for customer and developer search.
8 min readDocling Pipelines: Building Enterprise-Grade RAG Data Pipelines
How docling-pipelines replaces fragile glue scripts with composable operators and JSON flows: ingest, extract, quality gates, embeddings, and vector storage.
15 min readHow docling-pipelines Stores Document Vectors for RAG With OpenSearch or Milvus
The vector database layer of IBM docling-pipelines for RAG: pluggable OpenSearch and Milvus adapters, stale chunk cleanup, auto dimensions, JSON flows.
7 min read
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