LlamaIndex vs GitHub Actions
Data framework for LLMs — RAG-first with LlamaCloud + LlamaParse
vs. CI/CD native to GitHub — workflows + marketplace + hosted runners
Pricing tiers
LlamaIndex
OSS (MIT)
MIT-licensed core. Python + TypeScript. Free forever.
$0 base (usage-based)
LlamaCloud — Free
Free tier of LlamaCloud. 1,000 pages/day via LlamaParse. Basic indexing.
Free
LlamaCloud — Paid
Pay-per-page parsing + usage-based indexing. $0.003 per page (Fast mode).
$0 base (usage-based)
LlamaCloud Enterprise
Custom. SSO, SOC2, higher rate limits, private index hosting.
Custom
GitHub Actions
Public Repos
$0. Free unlimited minutes on hosted runners (Linux). No private runners.
$0 base (usage-based)
Free (Personal)
$0. 2,000 minutes/mo private repos (Linux). 500MB Packages storage.
Free
Per-minute Overage
$0.008/min Linux ($0.08 macOS, $0.016 Windows) after included minutes.
$0/mo
Team
$4/user/mo. 3,000 minutes/mo. 2GB storage. Org management.
$4/mo
Enterprise
$21/user/mo. 50,000 minutes/mo. 50GB storage. SAML SSO, audit.
$21/mo
Free-tier quotas head-to-head
Comparing oss on LlamaIndex vs free on GitHub Actions.
| Metric | LlamaIndex | GitHub Actions |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
LlamaIndex · 16 features
- Agents — Agent patterns: ReAct, function-calling, multi-agent workflows.
- Document Readers — 200+ readers for PDF, web, Google Drive, SharePoint, Notion, S3, Slack.
- Evaluations — Built-in eval framework: faithfulness, context precision/recall.
- LlamaCloud — Managed indexing + retrieval platform. File connectors, auto-chunking, retrieval…
- LlamaExtract — Schema-based structured extraction from unstructured docs.
- LlamaHub — Community marketplace of readers, tools, prompts.
- LlamaParse — Best-in-class PDF + complex document parser. Tables, math, layout preserved.
- Multimodal — Image + text models, image retrieval.
- Node Parsers — Document chunkers: token, sentence, semantic, hierarchical.
- Observability (OpenLLMetry) — OTel-based tracing baked in.
- Property Graph — Graph-based RAG (knowledge graphs from unstructured data).
- Query Engines — Retrieval + response synthesis combos — router, sub-question, tree, etc.
- RAG — End-to-end RAG patterns: ingest → index → retrieve → synthesize.
- Tools — 50+ pre-built tool integrations.
- Vector Store Integrations — 50+ vector DB integrations.
- Workflows — Event-driven agent workflows (AgentWorkflow).
GitHub Actions · 18 features
- Actions Cache — Persistent cache across runs.
- Actions Marketplace — 20K+ reusable actions.
- ARC (K8s Controller) — Autoscale self-hosted on K8s.
- Artifacts — Upload/download job outputs.
- Composite Actions — Actions made of other actions.
- Concurrency Groups — Cancel / queue overlapping runs.
- Container Jobs — Run a whole job in a Docker image.
- Environments + Approvals — Gate deploys with manual approval.
- Job Summaries — Markdown summaries in UI.
- Larger Runners — 4-64 vCPU, ARM, GPU.
- Matrix Strategy — Fan out over axes.
- OIDC Cloud Auth — Exchange JWT for cloud credentials.
- Reusable Workflows — workflow_call.
- Secrets + Variables — Encrypted org/repo/env secrets.
- Self-Hosted Runners — Your own runners.
- Service Containers — Sidecar containers (DBs, Redis) per job.
- Triggers — push, pull_request, schedule, workflow_dispatch, etc.
- Workflows — Event-driven YAML workflows.
Developer interfaces
| Kind | LlamaIndex | GitHub Actions |
|---|---|---|
| CLI | — | gh run CLI |
| SDK | llama-index (Python), llamaindex (TS) | @actions/* toolkit |
| REST | LlamaCloud API, LlamaParse API | GitHub Actions REST API |
| GRAPHQL | — | GitHub GraphQL (Actions) |
| MCP | LlamaIndex MCP | — |
| OTHER | — | Actions Marketplace, Actions Tab (Web), workflow_* webhooks, Workflow YAML |
Staxly is an independent catalog of developer platforms. Outbound links to LlamaIndex and GitHub Actions are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
Want this comparison in your AI agent's context? Install the free Staxly MCP server.