LlamaIndex vs Cody
Data framework for LLMs — RAG-first with LlamaCloud + LlamaParse
vs. AI coding assistant by Sourcegraph — code graph + enterprise codebase context
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
Cody
Cody Free
$0. 500 autocompletes + 20 chat messages/mo. Claude Sonnet + GPT-4o-mini.
Free
Cody Pro
$9/user/mo. Unlimited autocomplete, unlimited chat, premium LLMs (Claude Opus, GPT-5).
$9/mo
Enterprise Starter
$19/user/mo. Adds advanced context (code graph), SSO, centralized billing.
$19/mo
Enterprise
$59/user/mo. On-prem deploy option, full Sourcegraph platform, audit logs, SLA.
$59/mo
Free-tier quotas head-to-head
Comparing oss on LlamaIndex vs free on Cody.
| Metric | LlamaIndex | Cody |
|---|---|---|
| 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).
Cody · 17 features
- Audit Logs — Enterprise compliance.
- Autocomplete — Inline code completion.
- Batch Changes (Enterprise) — Large-scale automated refactors.
- Chat — Conversational AI with @-context.
- Code Graph Context — Automatic dependency-aware context.
- Commands (Slash) — Pre-built prompts (/explain, /doc, /test).
- Custom Prompts — Shareable team-level prompt library.
- Inline Edit — Highlight code → edit via natural language.
- JetBrains Plugin — IntelliJ/PyCharm/WebStorm/etc.
- @ Mentions — Add files/symbols/URLs as context.
- Multi-LLM Selection — Pick Claude/GPT/Gemini per request.
- Neovim Plugin — Nvim integration.
- On-Prem Deploy (Enterprise) — Self-host full Sourcegraph + Cody.
- OpenCtx Extensions — Third-party context providers.
- Prompts Library — Team-wide reusable prompts.
- SSO (Enterprise) — SAML + OIDC.
- VS Code Extension — Primary IDE.
Developer interfaces
| Kind | LlamaIndex | Cody |
|---|---|---|
| CLI | — | src CLI (context tool) |
| SDK | llama-index (Python), llamaindex (TS) | — |
| REST | LlamaCloud API, LlamaParse API | Cody API (Enterprise) |
| MCP | LlamaIndex MCP | — |
| OTHER | — | Cody for JetBrains, Cody for Neovim, Cody for VS Code, Sourcegraph Cloud Web |
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