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LlamaIndex vs Query Memory

Our take

Pick LlamaIndex if you're a builder wiring RAG or document extraction who will use the MIT library and/or LlamaParse credits. Pick Query Memory if you're on a app team who will stay on Free 25 parses or talk Enterprise. Skip LlamaIndex if you're people who only want a visual agent canvas (Langflow) or traces (Langfuse). Skip Query Memory if you're people who need a public Pro $ card we can quote — the homepage did

LlamaIndex

LlamaIndex

open-source data framework (RAG

Best for

LlamaIndex Connect an LLM to your documents

Query Memory Documents + retrieval behind one client

Free plan

LlamaIndex $0 · mIT. You bring the model

Query Memory $0 · 25 document parses / month; 1 knowledge base; 1 agent; 50 URLs / month; 100 API requests / month; community support

Lowest paid

LlamaIndex Credit rate $1.25

Query Memory Not published by the vendor

Next step up

LlamaIndex Starter $50/mo

Query Memory

Coding agent

LlamaIndex Agents builder

Query Memory Agents API

Runs where

LlamaIndex Local or hosted

Query Memory

Watch out

LlamaIndex LlamaParse is not MIT

Query Memory Free is 25 parses

Last checked

LlamaIndex 2026-10-19 · llamaindex.ai/pricing

Query Memory 2026-10-28 · querymemory.com

Which one, then?

Pick LlamaIndex if

builders wiring RAG or document extraction who will use the MIT library and/or LlamaParse credits.

Read the LlamaIndex page

Other comparisons