run-llama/llama_index
LlamaIndex is the document processing platform for AI
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SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
2 releases in the last 90 days, the latest 46 days ago, with 476 contributors on GitHub.
Use Cases & Benefits
- Provides a Python framework to ingest, index, and query private data for large language model (LLM) applications using document processing and retrieval techniques.
- Enables seamless integration with multiple LLMs, embedding models, and vector stores through over 300 modular plugins for flexible, customizable data augmentation.
- Use for building knowledge-augmented AI applications that require indexing and querying diverse document formats like PDFs, APIs, and SQL databases.
- Use for creating agentic document processing pipelines including OCR, structured data extraction, and retrieval-augmented generation with LlamaParse platform.
- Use for developing multi-agent workflows and custom document agents that automate complex data parsing, indexing, and querying tasks in enterprise environments.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
LlamaIndex OSS (by LlamaIndex) is an open-source framework to build agentic applications. Parse is our enterprise platform for agentic OCR, parsing, extraction, indexing and more. You can use LlamaParse with this framework or on its own; see LlamaParse below for signup and product links.
Building with LlamaIndex typically involves working with LlamaIndex core and a chosen set of integrations (or plugins). There are two ways to start building with LlamaIndex in Python:
The LlamaIndex Python library is namespaced such that import statements which include
coreimply that the core package is being used. In contrast, those statements withoutcoreimply that an integration package is being used.LlamaParse is its own platform—focused on document agents and agentic OCR. It includes Parse (parsing), LlamaAgents (deployed document agents), Extract (structured extraction), and Index (ingest and RAG). You can use it with the LlamaIndex framework or standalone.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
8.5K+613
Open issues
1.3K+708
Compared with peers in LLM
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| NVIDIA/auto-ontology | 11.4K | +8.5K | 75 | — |
| thedotmack/claude-mem | 115.8K | +4.7K | 75 | today |
| DietrichGebert/ponytail | 188.4K | +4.4K | 75 | 12 days ago |
| affaan-m/ECC | 300.8K | +4.3K | 75 | 40 days ago |
| Graphify-Labs/graphify | 145.7K | +3.8K | 75 | today |
| run-llama/llama_index | 52.8K | — | 62 | 46 days ago |
| Category median | 145.7K | +4.4K | 75 | — |
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