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hfy vs LlamaIndex
LlamaIndex focuses on indexing and querying data for LLMs, not on chat UI or self-hosted assistant services.
hfySelf-hosted, embeddable AI assistant for your app
LlamaIndexFramework for LLM apps and agents over your dataWhich to pick
Pick hfy if you want…
- Self-hosted, native-look AI chat for apps
- A free, open-source tool
- Integrations with iOS, Android or Flutter (on hfy's list, not LlamaIndex's)
Pick LlamaIndex if you want…
- Agentic OCR for complex docs
- Data indexing for LLMs
- Integrations with Microsoft Azure Marketplace (on LlamaIndex's list, not hfy's)
Side by side
- What it is
- hfy:Self-hosted backend and embeddable chat UI that lets your app run AI assistants with your own data and tools.
- LlamaIndex:LlamaParse converts complex documents into structured, AI-ready data with agentic OCR and extraction.
- Best for
- hfy:Self-hosted, native-look AI chat for apps
- LlamaIndex:Agentic OCR for complex docs
- Who it’s for
- hfy:Product teams that need an on-prem AI chat for web, mobile or desktop apps.
- LlamaIndex:Developers building AI agents and RAG pipelines that need accurate document parsing.
- Pricing
- hfy:Open source
- LlamaIndex:Freemium
- Plans
- hfy:—
- LlamaIndex:Free $0
- Open source
- hfy:Yes, 3 GitHub stars
- LlamaIndex:Yes, 52,381 GitHub stars
- Works with
- hfy:iOS, Android, Flutter, React Native, Electron, Tauri
- LlamaIndex:Microsoft Azure Marketplace
hfy features
- Self-hosted deployment. Runs on your own servers, keeping user data and API keys in-house.
- Model agnostic. Works with OpenAI, OpenRouter, local models or any service using the OpenAI API format.
- Tool integration via MCP. Calls your internal APIs through the open MCP standard, with per-request identity.
- Persistent conversations. All messages are stored in Postgres, surviving refreshes, crashes and device switches.
- Native chat UI. Embeddable web, iOS, Android, Flutter or React-Native chat that matches your brand.
- Memory & summarization. Long dialogs are summarized and searchable so the assistant can recall past context.
- Confirmation flows. Risky actions like refunds wait for explicit user approval before execution.
- Multi-assistant rooms. Separate assistants for customers and staff can share a conversation with role-based views.
LlamaIndex features
- Agentic OCR. Layout-aware parsing of tables, charts, images and handwriting with high accuracy.
- Schema-based Extraction. Turn unstructured content into structured JSON using LLM-powered agents without training.
- Document Splitting & Classification. Automatically segment and categorize documents using natural-language rules.
- Enterprise Indexing. Chunking and embedding pipeline for precise retrieval in RAG applications.
- LiteParse Local Engine. Open-source, fast, on-device parsing of PDFs, Office files and images with no cloud limits.
- Security & Compliance. SOC 2, GDPR, HIPAA compliance with encryption, VPC deployment and granular access controls.
hfy vs LlamaIndex FAQ
Is hfy or LlamaIndex free?+
hfy is free and open source. LlamaIndex has a free plan and paid plans.
Is hfy or LlamaIndex open source?+
Yes, both are open source: hfy (alash3al/hfy on GitHub, MIT license) and LlamaIndex (run-llama/llama_index on GitHub, MIT license).
Do hfy and LlamaIndex integrate with the same tools?+
Their integration lists don't overlap: hfy lists iOS, Android, Flutter, React Native and 2 more; LlamaIndex lists Microsoft Azure Marketplace.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.