LlamaIndex

Summary

LlamaIndex is an open-source Python and TypeScript framework for building context-aware AI agents, paired with Workflows for multi-step orchestration. Its commercial LlamaParse platform sells agentic OCR, structured extraction, classification, splitting and managed indexes through one API.

Best for: Engineers building RAG-heavy or document-heavy agents who want an MIT-licensed OSS core with an optional managed parsing and extraction platform on top.
Not for: Teams that need turnkey document classification, a human-in-the-loop review UI or schema-versioned extraction. Classification and review are not on the platform.

Captured 2026-09-08 · theagentsindex.com

From: Freethen $50/month
Free tier: Yes10,000 credits per month (~1000 pages), 5 indexes, 50 files per index, file upload only as a data source, 20 requests/min, no pay-as-you-go: requests return 402 when credits run out

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What it does

Writes code: PartlyBuilder turns natural language into workflow code; it does not author application code from a description.BuilderNatural language to code workflows builderllamaindex.ai/pricing
Ships it: PartlyWhat ships is the agent workflow itself: single-click deploy straight from a GitHub repo, listed on all four plans.Single-click deploy of agentic workflows from GitHub reposllamaindex.ai/pricing
Done-for-you service: NoYou run the software: one API key, one SDK, five products; the highest-touch offering is a dedicated account manager.LlamaParse is the enterprise platform for turning documents into production AI pipelines. One API key, one SDK, and five composable productsdevelopers.llamaindex.ai/llamaparse

How much it does unattended

Runs autonomously: PartlyParse/extract/classify jobs run unattended via API, SDK or MCP; multi-step workflows are explicitly built to include human review.Workflows is used to stitch together multiple steps, including combining human-in-the-loop review, document processing, and more, all in a single…llamaindex.ai/workflows
Multi-agent: YesWorkflows orchestrates multi-step systems and can combine several agents in one run.Workflows allows developers to build highly controlled multi-step workflows that can even combine multiple agents.llamaindex.ai/workflows
Agent permissions: PartlyFramework exposes human-in-the-loop and state as building blocks the developer wires up; the vendor publishes no policy engine that gates agent actions.Leverage core components like memory, state management, human-in-the-loop, reflection, and more.llamaindex.ai/llamaindex

Which models it runs on

Claude: YesAnthropic Claude is one of three model families the platform runs, via Anthropic API or AWS Bedrock.Anthropic Claude | Anthropic API | AWS Bedrockdevelopers.llamaindex.ai/llamaparse/sel…
GPT: YesOpenAI models are supported directly or through Azure OpenAI.OpenAI | OpenAI API | Azure OpenAIdevelopers.llamaindex.ai/llamaparse/sel…
Open models: PartlyThe open-source framework integrates HuggingFace and local models; the hosted platform's enumerated model families are OpenAI, Anthropic and Google only.We support integrations with OpenAI, HuggingFace, Anthropic, and more.developers.llamaindex.ai/python/framewo…
Model choice: Partlyv1 API lets you name the model per page; the recommended v2 tier system picks the model for you.In the v2 API, parsing uses a simplified tier-based system. Choose a tier and the platform handles model selection automatically.developers.llamaindex.ai/llamaparse/gen…

Where you use it

In your editor: PartlyReached inside IDE agents through the hosted MCP server and coding-agent skills, not as a first-party IDE extension.The LlamaParse MCP is a Model Context Protocol server that exposes the LlamaParse Platform's document-processing capabilities (Parse, Classify,…developers.llamaindex.ai/llamaparse/for…
On the command line: YesSkills and plugins install into terminal coding agents Claude Code and Codex; a Go CLI (llp) is a documented install path.LlamaParse ships agent skills (focused capabilities that teach coding agents how to parse and extract content from documents) and agent plugins that…developers.llamaindex.ai/llamaparse/for…
In your pipeline: PartlyCI use is deployment only: a spec kept in source control, applied on every push.Use llamactl deployments apply -f in GitHub Actions when you want a deployment spec in source control and an automated update on every push.developers.llamaindex.ai/python/llamaag…
In a browser: YesEvery product is usable from the hosted dashboard as well as SDK and REST API.It's available as a web UI, Python SDK, and REST API.developers.llamaindex.ai/llamaparse/gen…

Whose machine it runs on

Self-hosted: PartlyFull platform deploys into your own Kubernetes/VPC, but only on Enterprise plans.Self-hosted LlamaCloud is available on Enterprise plans.developers.llamaindex.ai/llamaparse/sel…
Open source: PartlyLlamaIndex and Workflows are open source; the LlamaParse commercial platform is not.Our open source projects, LlamaIndex and Workflows, provide AI builders with the foundational building blocks for creating AI apps.llamaindex.ai/pricing

What it costs to run

How it meters: YesMetered in credits billed per page (or per minute of audio) at $1.25 per 1,000 credits.All features are priced using credits, which are billed per page (or minute for audio). Credits vary by parsing mode, model, and whether files are…developers.llamaindex.ai/llamaparse/gen…
Free tier: YesFree plan self-serve with 10,000 credits a month, no sales call.It provides a generous provision of 10k free credits a month to all new users, but is not open source.llamaindex.ai/pricing
API access: YesOne API key drives every product from Python, TypeScript, Go, Java or REST.One API key, one SDK, and five composable products: Parse (agentic OCR), Extract (structured data), Classify, Split, and Index.developers.llamaindex.ai/llamaparse
MCP server: YesHosted MCP server with OAuth exposes parse, classify, extract, split and index tools to any MCP client, in NA and EU.Instead of wiring up the REST API or SDK yourself, you connect your agent to the MCP server once and let it parse documents, extract structured data,…developers.llamaindex.ai/llamaparse/for…
Bring your own key: YesSelf-hosted deployments call providers with your own keys; on the v1 hosted API 'Use your own API key' bills 1 credit per page.All LLM calls go directly from your cluster to providers using your own API keys and contracts.developers.llamaindex.ai/llamaparse/sel…

Buying it for a team

A company can buy it: YesOrganizations hold members and projects; Enterprise is contracted with sales.This is done through the use of Organizations, which has a list of team members that have access to all resources under that organization.developers.llamaindex.ai/llamaparse/gen…
Seat model: NoNot sold per seat: Free, Starter and Pro each include 100 users and price on credits instead.Users | 100 | 100 | 100llamaindex.ai/pricing
Pooled budget: PartlyPlan credits belong to the organization, but API keys and incurred billing stay scoped to the individual user.Every user within an organization has the same level of access to the projects and other resources under that organization. However, API keys and any…developers.llamaindex.ai/llamaparse/gen…
Admin controls: NoManaged service has no role separation: organization members all hold the same access level.Every user within an organization has the same level of access to the projects and other resources under that organization.developers.llamaindex.ai/llamaparse/gen…
Audit log: NoThe plan comparison's security rows stop at compliance, VPC, SSO/MFA and custom BAAs; no audit log is offered on any tier.SOC2, HIPAA, and GDPR compliancellamaindex.ai/pricing
Single sign-on: PartlySSO & MFA is an Enterprise-only row; self-hosted deployments integrate OIDC with Entra ID or Okta.Enterprise authentication - OIDC integration with your identity provider (Microsoft Entra ID, Okta, and others)developers.llamaindex.ai/llamaparse/sel…

What happens to your code

Opt out of training: YesNothing is used for training by default, and do_not_cache=True skips the 48-hour cache entirely.Your data is kept private to you only and is used only to return your results, never for model training.developers.llamaindex.ai/llamaparse/gen…
Data residency: YesChoose North America (us-east-1) or Europe (eu-central-1); uploaded data stays in its region, and regions cannot be migrated or linked.Data will be stored within the region it is uploaded to. If interacting with LlamaCloud EU for example, all data provided will remain within the EU…developers.llamaindex.ai/llamaparse/gen…
Getting out: PartlyResults export as markdown, JSON, XLSX or parquet and files can be deleted, but credits do not roll over and bonus credits vanish on downgrade.Unused bonus credits expire immediately if you downgrade.llamaindex.ai/pricing
Certifications: YesSOC 2 Type 2 certified, HIPAA compliant and GDPR-adherent; BAAs are Enterprise-only.LlamaCloud adheres to the General Data Protection Regulation (GDPR) and all other applicable laws and regulations governing our services. We are also…developers.llamaindex.ai/llamaparse/gen…

31 sourced claims on this page. Checked 2026-09-02. How we check.

Alternatives

Where we would send a reader instead, in that listing's own words.

LangChain
Open source agent frameworks plus LangSmith, the platform for tracing, evaluating and deploying agents.

Filed under

APIClaudeEnterpriseFree tierGPTMulti-agentOpen sourceSelf-hosted

Sources and updates

The pages we read23

1 of 23 independent of the vendor.

Platform record2026-08-30

Licence: MIT
Stars: 51,919
Forks: 8,054
Last push: 2026-08-29

Updates5

2026-09-02Capabilities · Commercial terms · Free tier
2026-08-31Capabilities · Commercial terms · Free tier · Price
2026-08-23Alternatives · Documentation link · LinkedIn link · One-liner · Repository · Summary
2026-08-17Tag:claude
2026-08-16One-liner · Summary