Semantic search over your documentation - with no LLM at query time.
Zero hallucination. Zero per-query cost. Returns in milliseconds.
Your AI asks a question. Ragionex returns the exact passage - with source, with media, without inventing a single word.
No vector DB to host. No embedding model to fine-tune. No prompt engineering. Just upload your docs and query them.
PDF, DOCX, Markdown, HTML. We process everything - text, images, and video content - and index it into your private collection.
Every image, diagram, and recording in your docs is indexed and searchable. Built to find the right answer every time.
POST a question to /v1/knowledge/search. We return the most relevant passages with sources - ready to quote inside your model's context window.
Vector DBs, embedding models, retrieval tuning, evaluation - all the indexing work nobody wants to maintain. We run it. You ship the AI.
Ask it ten different ways. Get the same correct answer every time. That's not a coincidence.
No LLM in the retrieval path. All the expensive indexing work happens at upload time, once. Every search is a pure lookup - fast, deterministic, no per-query AI cost.
All visual content in your docs - screenshots, recordings, diagrams - is searchable. Users find answers inside visuals, not just prose.
Purpose-built retrieval runs entirely on our infrastructure. Your AI gets context faster than it can start generating a single token.
Query the full VS Code documentation at no cost.
No signup. No credit card. Copy the key below and start building.
rgx_demo_gYLaf3LGp0aplximXA2ycH1GOXHrSADPvApTkwbhQivuFpz6GHvtwjF3dlD2oWxNnzBgnwGEWEo2mLmr2KxEEk0
Same key for all testers. Rate-limited per IP. See the docs →