R2R
RESTful API etrafında kurulu, ajan tabanlı Retrieval-Augmented Generation (RAG) yapabilen bir yapay zekâ bilgi getirme sistemidir. Çok kipli içerik alımı, hibrit arama, bilgi grafikleri ve belge yönetimi sunar; çok adımlı Deep Research API'si de vardır.
SciPhi-AI · AI / LLM / RAG
Common commercial products in this category: ChatGPT, Claude, Gemini
- Metin, PDF, JSON, görsel ve ses dosyalarını içeri alıp indekslersin.
- Anlamsal ve anahtar kelime aramasını karşılıklı sıra füzyonuyla birleştiren hibrit arama yaparsın.
- Belgelerden varlık ve ilişkileri otomatik çıkararak bilgi grafiği kurabilirsin.
- • NeutralHacker News
Show HN: R2R V2 – A open source RAG engine with prod features
“I'm just seeing this now. The key advantages can be extracted from the response above to Kluless - R2R is built around RESTful API and is dockerized, so devs can get started on app development immediately. The system was designed so that devs can typically scale data ingestion…”
- • NeutralHacker News
Show HN: R2R V2 – A open source RAG engine with prod features
“The quick start is defiantly not quick. You really should provide a batteries included docker compose with Postgres image ( docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0 ) If I want to use dashboard I have to clone another repo? 'git clone…”
Verified against README · Oct 28, 2026 · source
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