Build Your First RAG Pipeline That Doesn't Hallucinate
A working retrieval-augmented pipeline with chunking, reranking and an evaluation harness — plus the three failure modes that produce confident wrong answers.
4 articles.
A working retrieval-augmented pipeline with chunking, reranking and an evaluation harness — plus the three failure modes that produce confident wrong answers.
bge-m3, gte, nomic-embed against hosted APIs: multilingual reach, long text, dimension cost, retrieval quality and the index rebuild trap.
Three vector databases compared on deployment, filtering, latency, ops burden, cost model and scaling — plus which one fits your team.
LangChain optimises for agent chains and tool use; LlamaIndex optimises for ingestion and retrieval. Where each one actually saves you engineering time.