Knowledge Base Search
Semantic RAG search across all beckmann.ai posts — returns the most relevant articles incl. excerpts as grounding for answers.
Makes the entire beckmann.ai knowledge base searchable from your AI client: the tool embeds your question, ranks all blog posts by vector similarity and returns hits with title, URL, section, relevance score, teaser and the best-matching excerpt.
Your assistant can answer with sources and link straight to them — instead of guessing. If semantic search is unavailable, a lexical fallback kicks in automatically.
What it does
- Semantic search (embeddings) instead of bare keyword matching
- Hits include an excerpt — ideal as RAG grounding
- Searches both languages, optionally limited to DE or EN
- Lexical fallback — search never breaks