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# Building AI Applications You Can Trust? Explore Our New Retrieval-Augmented Generation(RAG) Handbook

**[Syncfusion](https://daily.dev/sources/syncfusion)** · 5 min read · 1 upvotes · 0 comments

## Summary

Syncfusion has published a RAG (Retrieval-Augmented Generation) Handbook aimed at developers building reliable AI applications. The handbook covers RAG fundamentals, the full RAG lifecycle, working with embeddings and chunking, evaluation strategies, common failure modes, and advanced techniques like hybrid search, reranking, and GraphRAG. It targets developers, product managers, and students looking to understand how production AI systems retrieve and generate evidence-based answers. The post also promotes Syncfusion Code Studio as an AI-powered IDE that applies these capabilities.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.syncfusion.com/blogs/post/fact-based-ai-answer-with-rag-handbook>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#llm](https://daily.dev/tags/llm), [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search)

[View this post on daily.dev](https://daily.dev/posts/building-ai-applications-you-can-trust-explore-our-new-retrieval-augmented-generation-rag-handbook-uiwpfedxg)

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