firecrawl vs weaviate
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| firecrawl | weaviate | |
|---|---|---|
| Tagline | The API to search, scrape, and interact with the web at scale. | Open-source vector database for semantic search |
| Stars | 147k | 17k |
| Forks | 8.5k | 1.3k |
| Open issues | 387 | 578 |
| Language | TypeScript | Go |
| License | AGPL-3.0 | BSD-3-Clause |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | AI Agents, Data & Retrieval | Vector Databases, Data & Retrieval |
firecrawl
Firecrawl is an open-source web context API aimed at finding sources, extracting content, and converting it into clean Markdown or structured data. It focuses on reliability, speed, and LLM-ready output formats.
TypeScript
weaviate
Weaviate is an open-source, cloud-native vector database designed to store both objects and vectors. It supports approximate nearest neighbor search, hybrid search techniques, recommender systems, and more.
Go