langflow vs orama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| langflow | orama | |
|---|---|---|
| Tagline | Langflow is a powerful platform for building and deploying AI-powered agents and workflows. | A complete search engine and RAG pipeline in your browser, server or edge network with full-text, vector, and hybrid search support. |
| Stars | 151k | 10k |
| Forks | 9.5k | 396 |
| Open issues | 977 | 17 |
| Language | Python | TypeScript |
| License | MIT | Other |
| Last pushed | Jul 7, 2026 | Jul 3, 2026 |
| Categories | AI Agents, Evaluation & Observability, Data & Retrieval | Vector Databases, Data & Retrieval |
langflow
A tool that offers a visual interface to create custom AI-powered services, integrating support for major language models (LLMs) and vector databases. It also provides multi-agent orchestration capabilities and observability.
Python
orama
Orama provides full-text, vector, and hybrid search capabilities with features like typo tolerance, BM25 scoring, and plugin system. It is implemented in TypeScript and supports multiple JS package managers for easy installation and use directly in browsers or server-side environments.
TypeScript