Nuclia vs LlamaCloud vs Weaviate vs MaxKB

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

	Nuclia Nuclia's RAG platform, now Progress Agentic RAG after 2025 buyout Visit	LlamaCloud Managed document parsing and RAG indexing from LlamaIndex Visit	Weaviate Open-source vector DB with hybrid search, now backed by $200M Visit	MaxKB Open-source RAG and workflow platform for building enterprise agents Visit
RECATOOLS Score	6.8 / 10	7 / 10	8 / 10	7.2 / 10
Capability	7	7	8	7
Value for money	6	6	8	8
Ease of use	7	7	6	6.5
ASEAN readiness	5	6	7	6.5
API quality	7	8	9	6.5
Pricing	Freemium	Freemium	Open Source	Open Source
Free tier	—	—	—	—
Paid from	—	—	—	—
Has API	✓	✓	✓	✓
Open source	✓	✗	✓	✓
Free to use	✓	✓	✓	✓
Users	—	—	—	—
Founded	2019	2024	2019	—
Maker	—	—	—	—
Verdict	Nuclia built a genuinely differentiated RAG platform: point it at a pile of mixed media — PDFs, audio, video, scanned documents — across 100-plus languages, and it handles parsing, chunking, embeddings, and vector storag...	LlamaCloud is the commercial layer on top of the open-source LlamaIndex framework: hosted document parsing through LlamaParse, structured extraction via LlamaExtract, and managed retrieval indexes, all reachable from the...	Weaviate pairs vector similarity with BM25 keyword search in a single query object, and built-in vectorizer modules mean you're not always wiring your own embedding pipeline. G2 reviewers (30+, averaging around 4.6) call...	MaxKB is one of the more credible self-hosted RAG platforms to come out of China's open-source scene — 21,000+ GitHub stars, active releases, and a straightforward path from PDF upload to a working chatbot with citations...
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.