Search & dataFirecrawl
Turn websites into structured data and readable content for AI applications.
Documentation ↗Source reviewed
Give your AI the web
Web research applications usually need search to find sources, extraction to read pages, and retrieval to bring relevant passages into a model’s context. Exa and Tavily provide web search, Firecrawl extracts website content, and Pinecone and Cohere support retrieval workflows.
Editorial selection · Summaries reviewed · Our methodologyChoose your building blocks
Search & data
Search & dataExa
Search the web and retrieve page content for AI research and agent workflows.
Documentation ↗Source reviewed
AI modelsCohere
Build enterprise AI with language models, embeddings, and reranking for retrieval workflows.
Documentation ↗Source reviewed
Search & dataPinecone
Store and search vector data to retrieve relevant context for AI applications.
Documentation ↗Source reviewed
Search & dataTavily
Search the web and extract content for research agents and AI applications.
Documentation ↗Source reviewed
What to evaluate
- Test source coverage and extraction quality on representative websites.
- Preserve source URLs and timestamps so answers can be checked.
- Respect source access rules and evaluate how fresh results need to be.
Provider documentation
Read the original sources for current capabilities, setup requirements, and usage terms. These selections are starting points, not a performance ranking.
| Provider | Use case | Primary source |
|---|---|---|
| Firecrawl | Web scraping, Extraction | Firecrawl documentation ↗ |
| Exa | Web search, Research | Exa documentation ↗ |
| Cohere | Embeddings, Reranking | Cohere documentation ↗ |
| Pinecone | Vector database, Retrieval | Pinecone documentation ↗ |
| Tavily | Web search, Research | Tavily documentation ↗ |