Pick LlamaIndex if
builders wiring RAG or document extraction who will use the MIT library and/or LlamaParse credits.
Read the LlamaIndex pageLlamaIndex vs Qdrant
Our take
Pick LlamaIndex if builders wiring RAG or document extraction who will use the MIT library and/or LlamaParse credits. Pick Qdrant if rAG teams who will run OSS or Cloud Free for $0 (1 GB / 4 GB, ~1M × 768-d vectors) and only open Standard when they need dedicated RAM and a 99.5% SLA. Skip LlamaIndex if people who only want a visual agent canvas (Langflow) or traces (Langfuse).
Best for
LlamaIndex Connect an LLM to your documents
Qdrant Store and search embeddings you already made
Free plan
LlamaIndex $0 · mIT. You bring the model
Qdrant $0 · you host Docker / Kubernetes / Edge
Lowest paid
LlamaIndex Credit rate $1.25
Qdrant Cloud Standard $85/mo
Next step up
LlamaIndex Starter $50/mo
Qdrant
Coding agent
LlamaIndex Agents builder
Qdrant
Runs where
LlamaIndex Local or hosted
Qdrant
Watch out
LlamaIndex LlamaParse is not MIT
Qdrant Free Cloud suspends after 1 idle week
Last checked
LlamaIndex 2026-10-19 · llamaindex.ai/pricing
Qdrant 2026-10-22 · qdrant.tech/pricing
Which one, then?
Pick Qdrant if
rAG teams who will run OSS or Cloud Free for $0 (1 GB / 4 GB, ~1M × 768-d vectors) and only open Standard when they need dedicated RAM and a 99.5% SLA.
Read the Qdrant page