PayloopPayloop
CommunityVoicesToolsDiscoverLeaderboardReportsBlog
Save Up to 65% on AI
Powered by Payloop — LLM Cost Intelligence
Tools/Embedchain vs Graphiti
Embedchain

Embedchain

framework
vs
Graphiti

Graphiti

framework

Embedchain vs Graphiti — Comparison

Overview
What each tool does and who it's for

Embedchain

Embedchain is an Open Source RAG framework - load, index, retrieve, and sync any unstructured data. Embedchain streamlines the creation of RAG applica

Based on the provided information, I cannot generate a meaningful summary of user opinions about Embedchain. The social mentions only show YouTube video titles that repeat "Embedchain AI" without any actual user feedback, reviews, or sentiment data. To provide an accurate assessment of user thoughts on Embedchain's strengths, complaints, pricing, and reputation, I would need access to actual review content, user comments, or substantive social media discussions about the tool.

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
—
0
Mentions (30d)
33
51,567
GitHub Stars
24,254
5,772
GitHub Forks
2,403
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Embedchain

0% positive100% neutral0% negative

Graphiti

0% positive100% neutral0% negative
Pricing

Embedchain

Graphiti

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

Graphiti (1)

Quick Start
Features

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
—
GitHub Repos
11
—
GitHub Followers
417
1
npm Packages
13
6
HuggingFace Models
—
—
SO Reputation
—
Product Screenshots

Embedchain

Embedchain screenshot 1

Graphiti

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

Embedchain

Graphiti

AI/MLFinTechDevOpsSecurityAnalytics
View Embedchain Profile View Graphiti Profile