tag: rag
articles: 4 · beats: 3
latest: October 7, 2026
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Rag
4 Crashtech articles on Rag, spanning How AI Actually Works, System Design & Architecture and Building Flocci, published between July 2026 and October 2026. Every piece is full-text HTML with sources, structured data and an authored FAQ.
They span How AI Actually Works (2), System Design & Architecture (1), Building Flocci (1). How AI Actually Works System Design & Architecture Building Flocci
GraphRAG Explained: When Graphs Help Retrieval and Global Summaries
GraphRAG adds entity relationships and community reports to retrieval. It can improve broad summaries; extraction errors still need evaluation.
pgvector and Hybrid Search: When Keeping Retrieval in Postgres Helps
Postgres can combine vector and lexical retrieval with rank fusion, simplifying consistency without replacing every dedicated search system.
RAG vs Agentic RAG: Why Retrieval Needed to Become a Decision
Traditional RAG retrieves once and answers. Agentic RAG lets the system decide what to retrieve, from where, and whether the first answer was even good enough.
Flocci Chat: The Support Bot That Learns From the People It Serves
An embeddable AI support widget that fills its own knowledge base from real visitor browsing, cites its sources, and escalates only when a human should.
Questions we answer about Rag
- Does GraphRAG eliminate hallucinations?
- When is GraphRAG useful?
- Is PostgreSQL ts_rank_cd a BM25 implementation?
- Does a tenant filter guarantee high vector recall?
- What is RAG, in one sentence?
- What specifically does Agentic RAG add on top of traditional RAG?
- Why isn't traditional RAG enough for complex questions?
- Does Agentic RAG always produce better answers than traditional RAG?
- What tools does an Agentic RAG system typically choose between?
- How does Flocci Chat know about my website?
Frequently asked questions
What does Crashtech publish about Rag?
4 articles tagged Rag, the most recent published October 7, 2026. They span How AI Actually Works (2), System Design & Architecture (1), Building Flocci (1). Each carries numbered sources, an authored FAQ and full structured data.
What questions about Rag does Crashtech answer directly?
10 questions have a dedicated answer page under this tag, including “Does GraphRAG eliminate hallucinations?”. Each answer is authored prose from the article it belongs to, not a generated summary.
Can AI assistants read Crashtech's Rag coverage?
Yes. Crashtech serves full static HTML to every crawler, allows all major AI user agents in robots.txt, and publishes an llms.txt manifest plus a full-text corpus, so assistants can retrieve and cite these articles directly.