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Haystack API
Haystack API empowers developers to build and deploy AI-driven applications focused on retrieval-augmented generation, semantic search, and question answering.
Developed by deepset
Reference for available routes, request structures, and live examples.
Extracts text and metadata from documents
https://haystack.deepset.ai/extractcurl -X POST 'https://haystack.deepset.ai/extract' \
-H 'Authorization: Bearer YOUR_API_KEY'{
"file": "binary_pdf_data",
"params": {
"clean": true
}
}{
"meta": {
"pages": 5,
"author": "John Doe"
},
"content": "Lorem ipsum dolor sit amet..."
}- Building production-ready AI applications with semantic search capabilitiesOptimized Capability
- Deploying modular RAG workflows for enterprise-scale knowledge managementOptimized Capability
- Integrating conversational AI chatbots with advanced QA functionalitiesOptimized Capability
- Creating full-stack AI solutions using large language models and vector databasesOptimized Capability
- Embedding context-aware information retrieval in business workflowsOptimized Capability
- ✓ Open-source and community-driven with strong GitHub presence
- ✓ Flexible configuration and easy deployment via CLI and REST API
- ✓ Supports cutting-edge AI techniques like RAG and semantic search
- ✓ No mandatory authentication simplifies rapid prototyping
- ✗ No built-in authentication could pose security risks in production
- ✗ Limited official SDKs beyond Python requiring custom integrations
- ✗ Rate limits are modest for very high-volume applications
- ✗ Documentation could be more detailed on advanced pipeline customization
FAQs
API Specifications
v1Less than 30 minutes to get a basic server and pipeline running
1000 requests per minute
Unlimited free usage with no authentication required; suitable for development and small deployments
Use Case: Best For
Enterprises and developers needing scalable AI semantic search and QA integrations
Not Recommended For
Applications requiring strict security or heavy commercial SLAs without added security layers
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