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Tools/LlamaIndex vs Graphiti
LlamaIndex

LlamaIndex

framework
vs
Graphiti

Graphiti

framework

LlamaIndex vs Graphiti — Comparison

Overview
What each tool does and who it's for

LlamaIndex

LlamaParse is the world

Based on the social mentions, users view LlamaIndex as a valuable tool in the RAG and AI agent ecosystem, though specific feedback is limited in these samples. Developers frequently reference it alongside other RAG frameworks when discussing best practices for building AI applications, suggesting it's considered a standard solution in the space. There's active interest in cost optimization features like Gemini prompt caching integration, indicating users are focused on making LlamaIndex more economical for production use. The mentions position LlamaIndex as part of the broader conversation around moving beyond simple RAG implementations toward more sophisticated agentic AI systems.

Graphiti

Build Real-Time Knowledge Graphs for AI Agents. Contribute to getzep/graphiti development by creating an account on GitHub.

Based on the provided content, there are no reviews or social mentions specifically about "Graphiti." All the social media mentions are about GitHub Copilot, Figma, npm registry tools, and other development-related topics, but none reference a tool called "Graphiti." Without actual user feedback about Graphiti, I cannot provide a meaningful summary of user sentiment, strengths, complaints, or pricing opinions for this specific tool.

Key Metrics
—
Avg Rating
—
2
Mentions (30d)
33
48,166
GitHub Stars
24,254
7,131
GitHub Forks
2,403
117,450
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

LlamaIndex

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative
Pricing

LlamaIndex

subscription + tieredFree tier

Pricing found: $0 /month, $50 /month, $500 /month, $1.25., $500

Graphiti

per-seat + tiered
Use Cases
When to use each tool

Graphiti (1)

Quick Start
Features

Only in LlamaIndex (10)

Orchestrate AI WorkflowsBuilt for SpeedEvent-DrivenModular building blocksDeveloper-FirstIntegrate AnywhereSolutionsProductsResourcesCompany

Only in Graphiti (10)

Build context graphs that evolve with every interaction — tracking what's true now and what was true before.Give agents rich, structured context instead of flat document chunks or raw chat history.Query across time, meaning, and relationships with hybrid retrieval (semantic + keyword + graph traversal).Python 3.10 or higherNeo4j 5.26 / FalkorDB 1.1.2 / Kuzu 0.11.2 / Amazon Neptune Database Cluster or Neptune Analytics Graph + Amazon OpenSearch Serverless collection (serves as the full text search backend)OpenAI API key (Graphiti defaults to OpenAI for LLM inference and embedding)Google Gemini, Anthropic, or Groq API key (for alternative LLM providers)Connecting to a Neo4j, Amazon Neptune, FalkorDB, or Kuzu databaseInitializing Graphiti indices and constraintsAdding episodes to the graph (both text and structured JSON)
Developer Ecosystem
115
GitHub Repos
11
3,570
GitHub Followers
417
20
npm Packages
13
24
HuggingFace Models
—
—
SO Reputation
—
Pain Points
Top complaints from reviews and social mentions

LlamaIndex

LLM costs (1)cost tracking (1)

Graphiti

No data yet

Product Screenshots

LlamaIndex

LlamaIndex screenshot 1LlamaIndex screenshot 2LlamaIndex screenshot 3LlamaIndex screenshot 4

Graphiti

Graphiti screenshot 1Graphiti screenshot 2Graphiti screenshot 3
Company Intel
information technology & services
Industry
information technology & services
85
Employees
6,000
$46.5M
Funding
$7.9B
Series A
Stage
Other
Supported Languages & Categories

LlamaIndex

AI/MLFinTechDevOpsSecurityDeveloper Tools

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics
View LlamaIndex Profile View Graphiti Profile