Comparison
llama_cloud_services vs llama_index
llama_cloud_services (Knowledge Agents and Management in the Cloud) vs llama_index (Document agent and OCR platform) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · llama_cloud_services alternatives · llama_index alternatives
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Tagline
- llama_cloud_services
- Knowledge Agents and Management in the Cloud
- llama_index
- Document agent and OCR platform
Stars
- llama_cloud_services
- 4.3k
- llama_index
- 51k
Forks
- llama_cloud_services
- 469
- llama_index
- 7.7k
Open issues
- llama_cloud_services
- 368
- llama_index
- 494
Language
- llama_cloud_services
- TypeScript
- llama_index
- Python
Adopt for
- llama_cloud_services
- Decision-Critical Facts for `llama_cloud_services`
- llama_index
- LlamaIndex is an open-source framework that enables developers to build agentic applications, integrating with various LLMs, embeddings, and vector stores.
Persona
- llama_cloud_services
- -
- llama_index
- -
Runtime
- llama_cloud_services
- -
- llama_index
- -
License
- llama_cloud_services
- MIT
- llama_index
- MIT
Last pushed
- llama_cloud_services
- May 18, 2026
- llama_index
- Jul 2, 2026
Categories
- llama_cloud_services
- AI Agents, Data & Retrieval
- llama_index
- AI Agents, Vector Databases
Trust and health
Maintenance
- llama_cloud_services
- Steady (60%)
- llama_index
- Very active (96%)
Days since push
- llama_cloud_services
- 50d
- llama_index
- 5d
Open issues (now)
- llama_cloud_services
- 368
- llama_index
- 494
Security scan
- llama_cloud_services
- No criticals
- llama_index
- No lockfile
Full report
- llama_cloud_services
- Trust report
- llama_index
- Trust report
Typed relationship
llama_cloud_services successor llama_indexllama_cloud_services is deprecated and advises migrating to llama_index for continued functionality.Recommended - Succeeding package with improved performance and active development.
Shared compatibility
- Python · llama_cloud_services: Python runtime · llama_index: Python runtime
Choose llama_cloud_services if…
- llama_cloud_services is primarily TypeScript; llama_index is Python.
- Requirements: Migration from this deprecated repository to new Python (`pip install llama-cloud>=1.0`) and TypeScript (`npm install @llamaindex/llama-cloud`) packages is soon; recommended for ongoing support, performance enhancements, and active development..
- llama_cloud_services is deprecated and advises migrating to llama_index for continued functionality.
- Tags unique to llama_cloud_services: ppt-to-json, pdf-processing, docx-conversion, document-parser.
- Also covers Data & Retrieval.
- - When legacy systems require services that are not yet supported by newer Python or TypeScript packages (prior to May 1, 2026).
When NOT to use llama_cloud_services
- - If starting new projects that require cloud-based knowledge agents and document processing services, due to deprecation.
- - When performance improvements, up-to-date support, or active development are critical considerations, since the newer `llama-cloud` Python packages or TypeScript equivalents offer these advantages.
Choose llama_index if…
- llama_index is primarily Python; llama_cloud_services is TypeScript.
- llama_cloud_services is deprecated and advises migrating to llama_index for continued functionality.
- Tags unique to llama_index: llamaindex, fine-tuning, agents, llm.
- Also covers Vector Databases.
- When you require a flexible and extensive set of integrations for building agentic applications using different LLMs, embedding models, and vector storages.
When NOT to use llama_index
- If your project does not require agentic application development or advanced document processing capabilities beyond basic OCR.
- In scenarios where using an open-source framework with extensive integrations introduces unnecessary complexity, especially if you are already committed to a specific technology stack that does not co
Explore
llama_cloud_services trust report →llama_index trust report →AI Agents category →Data & Retrieval category →Vector Databases category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between llama_cloud_services and llama_index?
- llama_cloud_services: Knowledge Agents and Management in the Cloud. llama_index: Document agent and OCR platform. See the comparison table for live GitHub stats and shared categories.
- When should I choose llama_cloud_services over llama_index?
- Choose llama_cloud_services over llama_index when llama_cloud_services is primarily TypeScript; llama_index is Python; Requirements: Migration from this deprecated repository to new Python (`pip install llama-cloud>=1.0`) and TypeScript (`npm install @llamaindex/llama-cloud`) packages is soon; recommended for ongoing support, performance enhancements, and active development.; llama_cloud_services is deprecated and advises migrating to llama_index for continued functionality; Tags unique to llama_cloud_services: ppt-to-json, pdf-processing, docx-conversion, document-parser; Also covers Data & Retrieval; - When legacy systems require services that are not yet supported by newer Python or TypeScript packages (prior to May 1, 2026).
- When should I choose llama_index over llama_cloud_services?
- Choose llama_index over llama_cloud_services when llama_index is primarily Python; llama_cloud_services is TypeScript; llama_cloud_services is deprecated and advises migrating to llama_index for continued functionality; Tags unique to llama_index: llamaindex, fine-tuning, agents, llm; Also covers Vector Databases; When you require a flexible and extensive set of integrations for building agentic applications using different LLMs, embedding models, and vector storages.
- When should I avoid llama_cloud_services?
- - If starting new projects that require cloud-based knowledge agents and document processing services, due to deprecation. - When performance improvements, up-to-date support, or active development are critical considerations, since the newer `llama-cloud` Python packages or TypeScript equivalents offer these advantages.
- When should I avoid llama_index?
- If your project does not require agentic application development or advanced document processing capabilities beyond basic OCR. In scenarios where using an open-source framework with extensive integrations introduces unnecessary complexity, especially if you are already committed to a specific technology stack that does not co
- Is llama_cloud_services or llama_index more popular on GitHub?
- llama_index has more GitHub stars (50,723 vs 4,252). Stars measure visibility, not whether either tool fits your constraints.
- Are llama_cloud_services and llama_index open source?
- Yes - both are open-source projects on GitHub (llama_cloud_services: MIT, llama_index: MIT).
- Where can I find alternatives to llama_cloud_services or llama_index?
- GraphCanon lists graph-backed alternatives at /tools/run-llama-llama-cloud-services/alternatives and /tools/run-llama-llama-index/alternatives (/tools/run-llama-llama-cloud-services/alternatives.md, /tools/run-llama-llama-index/alternatives.md), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at /compare/run-llama-llama-cloud-services-vs-run-llama-llama-index.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, llama_cloud_services or llama_index?
- llama_cloud_services: Steady. llama_index: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for llama_cloud_services and llama_index?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llama_cloud_services: /tools/run-llama-llama-cloud-services/trust; llama_index: /tools/run-llama-llama-index/trust.