GraphCanon updated Sep 30, 2026 · GitHub synced Sep 20, 2026
90views this month
Decision brief
LlamaIndex is an open-source framework for building AI-powered document processing applications, including RAG and agent applications, with a focus on document parsing and extraction. It offers over 300 integration packs
Good fit when
- When you need a framework that focuses on document parsing and extraction, as LlamaIndex has evolved to prioritize these capabilities
- If you are working on RAG and agent applications and require a broad set of orchestration tools
Avoid when
- If your project requires enterprise-level features such as agentic OCR, as LlamaIndex's primary focus has shifted towards LlamaParse, an enterprise platform
- When you need a tool that is actively developed and maintained as the primary focus of the company has shifted towards LlamaParse and LiteParse, and the OSS framework is now a secondary focus
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for LlamaIndex. Display-only - separate from trust and ranking.
- Company
- LlamaIndex·GitHub org profile·Jul 11, 2026
- Funding
- $19,000,000 (2024-02)·GraphCanon curated seed (public press)·Jul 11, 2026
- Commercial model
- Open core·GraphCanon curated seed·Jul 11, 2026
Install
pip install llama_index PyPIHow it fits your stack(22)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Related
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
LlamaIndex is an open-source framework for building AI-powered document processing applications, including RAG and agent applications.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
> - [LlamaParse](https://developers.llamaindex.ai/python/cloud/llamaparse/?utm_medium=li_github&utm_source=github&utm_campaign=2026--)Source link
Tags
README
🗂️ LlamaIndex (OSS Framework) 🦙 [!NOTE] The current focus of LlamaIndex is to build the best AI powered engine for document parsing and extraction. LlamaParse is our enterprise platform for agentic OCR, parsing, extraction, indexing and more. LiteParse represents our efforts to...
For agents
This page has a .md twin and JSON over the API.