LlamaIndex
Converts complex documents into clean, AI-ready structured data for workflows
- Vendor
- LlamaIndex Inc.
- Also known as
- llamaindex
Available worldwide
What is LlamaIndex?
A cloud-based document parsing and extraction platform that transforms unstructured documents—PDFs, images, spreadsheets, and more—into structured, LLM-ready data for AI agents and applications.
LlamaIndex pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Free tier with 10K monthly credits; pay-as-you-go starting at $50/month. Credit pricing: 1,000 credits = $1.25.
Free
Free- credits
- 10,000/month
- concurrent_parse_jobs
- 20
- concurrent_sheets_jobs
- 1
- concurrent_extract_jobs
- 5
- Basic parsing
- Up to 130+ file formats
- File upload only
- Community support
Starter
- credits
- 400,000/month
- concurrent_parse_jobs
- 100
- Multiple parse tiers (Cost Effective, Agentic, Agentic Plus)
- Auto Mode smart tier routing
- Advanced table and chart extraction
- Structured JSON output
- Extraction agents
- Saved parse configs & model versioning
- 99.9% uptime
- Basic email support
Pro
- credits
- 4,000,000/month
- All Starter features
- Classification & splitting
- Sheets (spreadsheet data extraction)
- Agents Builder
- External data sources
- Webhooks & API callbacks
- Smart result caching
- Slack support
Enterprise
Contact sales- Volume discount on credits
- 5x higher rate limits
- Enterprise SSO
- SaaS or Hybrid cloud deployment
- Dedicated account manager
- Priority Slack support with SLAs
What LlamaIndex does
The capabilities that matter for mlops & llmops tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Tool role
- Agent / RAG framework
- Self-hostable / OSS core
- ✓
- Managed cloud available
- ✓
- On-prem / VPC deployment
- ✓
- LLM tracing / observability
- ✗
- Evaluation (offline / LLM-judge / human)
- ✗
- Prompt management + versioning
- ✗
- Experiment tracking / model registry
- ✗
- Model serving / inference endpoint
- ✓
- OpenTelemetry / OpenLLMetry compatible
- ✓
- Framework-agnostic
- ✓
- Multi-provider model support
- ✓
- No-train-on-customer-data guarantee
- Unknown
Platform & deployment
Independently observed- Web
- Cloud / SaaS
- Hybrid
Integrations (3)
Independently observed- AWS
- Microsoft Azure
- GitHub
Security & compliance
Independently observed- SOC 2 Type II · Type IIactive
- GDPRactive
- HIPAAactive
Known vulnerabilities: 9 (1 in the last 12 months), max severity CRITICAL sourcea count reflects scale & disclosure, not quality
LlamaIndex FAQ
Common questions about LlamaIndex, answered from independent, dated evidence.
What is LlamaIndex?
LlamaParse is a cloud-based document parsing platform that uses vision language models and intelligent agents to automatically process complex documents—including PDFs, images, and office files—with support for layout detection, multi-modal content, and 80+ languages. It transforms document ingestion workflows with agentic extraction and indexing capabilities. It is indexed under MLOps & LLMOps Tools.
Is LlamaIndex free to use?
LlamaIndex is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. A commercial or hosted edition starts at $50 per month. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.
What platforms does LlamaIndex support?
We have confirmed browser-based access to LlamaIndex. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.
Can LlamaIndex be self-hosted?
Not fully, on what we have confirmed. LlamaIndex is offered as cloud / SaaS and hybrid, and a hybrid deployment usually means some components can run on your own infrastructure while the rest stays vendor-hosted. We have not confirmed a completely self-hosted option, so check with the vendor if that is a requirement.
What does LlamaIndex integrate with?
We have confirmed 3 integrations for LlamaIndex, including AWS, Microsoft Azure and GitHub. This is what we could verify from public sources, so the vendor may support others we have not indexed.
What security certifications does LlamaIndex have?
We have independently confirmed SOC 2, HIPAA and GDPR for LlamaIndex. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as LlamaIndex not holding them. Always confirm compliance directly before you rely on it.
Source: https://www.llamaindex.ai
Is LlamaIndex open source?
Yes. LlamaIndex is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Where is LlamaIndex available?
LlamaIndex is available worldwide. Its primary markets are the United States and the EU. The vendor is headquartered in the United States.
LlamaIndex alternatives
Other mlops & llmops tools we track, ranked by the same independent score.
- PortkeyAn API gateway for routing requests across thousands of language models with built-in safety guardrailshigh · 76%
- LangChainA platform for building, testing, and operating AI agents at scalemedium · 70%
- BasetenAn inference platform for deploying and running AI models at scalemedium · 73%
- Together AICloud platform for deploying and running open-source AI models with optimized inferencemedium · 61%
- OllamaA platform for running open-source language models locally or in the cloud with cost-effective access.medium · 57%
- RayDistributed computing infrastructure for scaling machine learning applicationsmedium · 65%
Compare LlamaIndex
Side by side against other mlops & llmops tools, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for LlamaIndex, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Package downloads | 81 | 0.14 | 11.0 | ✓ |
| Capabilities | 100 | 0.09 | 9.2 | ✓ |
| Pricing transparency | 100 | 0.08 | 8.4 | ✓ |
| Reliability | 95 | 0.06 | 6.0 | ✓ |
| Release cadence | 93 | 0.05 | 4.9 | ✓ |
| Development activity | 51 | 0.09 | 4.8 | ✓ |
| Security posture | 60 | 0.06 | 3.8 | ✓ |
| Dependent projects | 53 | 0.06 | 3.3 | ✓ |
| Price level | 50 | 0.05 | 2.6 | ✓ |
| Stars | 89 | 0.03 | 2.3 | ✓ |
| Integrations | 17 | 0.09 | 1.6 | ✓ |
| Security score | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 42 | mediumsource · 2026-09-11 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 8 items | mediumsource · 2026-09-10 · 65% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Role: framework · Evaluation: No · Soc2 type ii: Yes · Managed cloud: Yes · Model serving: Yes · Pricing model: commercial_enterprise_platform | mediumsource · 2026-09-11 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 3 | mediumsource · 2026-08-21 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-09-11 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | MIT | highsource · 2026-09-11 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-09-11 · 75% |
Pricing
Release
Reliability
Security
| Attribute | Value | Evidence |
|---|---|---|
| Gdpr | Yes | highsource · 2026-09-11 · 75% |
| Hipaa | Yes | mediumsource · 2026-09-11 · 60% |
| Soc2 | Yes | mediumsource · 2026-09-11 · 60% |
| Disclosure policy | Yes | mediumsource · 2026-08-13 · 60% |
| Vulnerabilities | Count: 9 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=llama-index&per_page=100 · Last 12m: 1 · Max severity: CRITICAL | highsource · 2026-09-11 · 90% |
| Certifications | SOC 2 Type II, GDPR, HIPAA | mediumsource · 2026-09-11 · 60% |
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