Langflow vs LlamaIndex
Langflow
langflow.org
LlamaIndex
llamaindex.aiSide by side
| Figure | Langflow | LlamaIndex |
|---|---|---|
| Price from | — | $50/mo |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 4 |
| Spec score · LLM Application Development Frameworks | 7.6 (#11) | 7.7 (#9) |
| Spec score · Ai Development Tools | 7.4 (#14) | 7.6 (#11) |
| Spec score · AI Agent Platforms | 7.5 (#51) | 7.6 (#43) |
| Spec score · Retrieval-Augmented Generation Tools | 7.5 (#20) | 7.7 (#16) |
| Integrations | The homepage lists integrations including Anthropic, Azure, OpenAI, Hugging Face, Ollama, Qdrant, Pinecone, Slack, and Google Drive. | LlamaIndex documents community integrations for data loaders, agent tools, LLMs, vector stores, observability, and application frameworks. |
| Purpose | Langflow is an open-source, Python-based framework for building customizable AI applications, including agent and MCP applications. | LlamaIndex helps developers and enterprises automate document processing and build AI workflows around documents. |
| Security | Langflow can execute developer-provided Python with access to the host backend, filesystem, and network, and it does not enforce user isolation within a single process. | The pricing FAQ says LlamaParse is certified for SOC 2 Type II, GDPR, and HIPAA. |
| Support | The official site links to community help on Discord, professional services, and Premier Support. | The listed support levels are community for Free, basic email support for Starter, priority Slack Connect for Pro, and dedicated support for Enterprise. |
Plans
LlamaIndex
- Starter$50 a month
- Pro$500 a month
- EnterprisePriced on request
- FreePrice not published
In their own words
LlamaIndex
LlamaIndex is a freemium platform for developers and enterprises automating document processing and AI workflows. LlamaParse handles more than 50 unstructured file types, including files with embedded images, complex layouts, multi-page tables and handwritten notes. Schema-based, language-model extraction agents convert unstructured content into structured insights without training. Workflows can divide documents into logical sections and classify them using natural-language descriptions and rules. Chunking and embedding pipelines support indexing and retrieval in RAG workflows. Community integrations cover data loaders, agent tools, language models, vector stores, observability and application frameworks. LlamaCloud connectors currently include Google Drive, SharePoint, S3 and Confluence. Free and Starter plans allow five concurrent parse, extract, classify and split jobs; Pro allows 20 and Enterprise 100. The Free plan has no listed price; Starter costs $50.00 per month. LlamaParse is commercial, while LlamaIndex and Workflows are open-source.