Side by side
LlamaIndex vs Pinecone
A fact-based comparison built only from each tool's verified directory profile — pricing summaries, plan availability, platforms, and stated strengths and limitations. No rankings, no sponsored placement.
| Criterion | LlamaIndex | Pinecone |
|---|---|---|
| Category | RAG & Vector Databases | RAG & Vector Databases |
| In one sentence | Open-source framework for connecting LLMs to your data, plus the commercial LlamaParse document platform. | Fully managed vector database for semantic search and retrieval-augmented generation. |
| Problem it solves | Getting messy documents into a form that LLMs can search and reason over accurately. | Searching large collections by meaning rather than exact keywords, without running your own vector infrastructure. |
| Free plan | Yes | Yes |
| Developer API | Yes — docs | Yes — docs |
| Open source | Yes | No |
| Platforms | Python, Web (LlamaCloud) | Web console, REST API |
| Pricing (summary) | The LlamaIndex framework is free under MIT. LlamaParse plans: Free with 10K credits, Starter $50/month (40K credits), Pro $500/month (400K credits) and custom Enterprise; 1,000 credits cost $1.25. Checked 2026-10-19 | Starter is free (5 indexes, 2 GB storage, 2M write and 1M read units per month). Builder is $20/month flat. Standard has a $50/month minimum and Enterprise $500/month, with pay-as-you-go storage ($0.33/GB/month), writes and reads above that. Checked 2026-10-19 |
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How to choose
Both profiles link to the vendors' official pricing — plan details change often, so verify there before buying. Pick based on the criterion rows above that matter to your workflow, not on rankings: we don't rank tools, because the right choice depends on your needs.