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Haystack API

Haystack API assists developers in building RAG, semantic search, and QA applications using a robust framework from Deepset, facilitating production-grade AI integrations.

Developed by deepset

View Source
99.90%Uptime
200msLatency
23.7kStars
No AuthAuth
NoCredit Card
RESTStyle
v2.21.0Version
API Endpoints

Reference for available routes, request structures, and live examples.

Extracts text and metadata from documents

Full Endpoint URL
https://haystack.deepset.ai/extract
Implementation Example
curl -X POST 'https://haystack.deepset.ai/extract' \
  -H 'Authorization: Bearer YOUR_API_KEY'
Request Payload
{
  "file": "binary_pdf_data",
  "params": {
    "clean": true
  }
}
Expected Response
{
  "meta": {
    "pages": 5,
    "author": "John Doe"
  },
  "content": "Lorem ipsum dolor sit amet..."
}
Version:v1
Limit:50 documents/hour
Real-World Applications
  • Retrieval-Augmented Generation (RAG)Optimized Capability
  • Semantic SearchOptimized Capability
  • Question AnsweringOptimized Capability
  • Conversational AgentsOptimized Capability
  • Multimodal IngestionOptimized Capability
Advantages
  • ✓ Easy deployment of pipelines via REST using Hayhooks
  • ✓ OpenAI-compatible streaming chat endpoints
  • ✓ Supports file uploads and MCP tool exposure
  • ✓ Modular, composable pipelines with serialization and logging
Limitations
  • ✗ Requires developer familiarity with Python and FastAPI
  • ✗ No built-in authorization/authentication mechanisms
  • ✗ Documentation assumes Haystack framework knowledge
  • ✗ Self-hosted; no managed API offering

FAQs

API Specifications

v2.21.0
Pricing Model
Open-source (self-hosted) + optional enterprise tier
Credit Card
Not Required
Response Formats
JSON
Supported Languages
1 Languages
SDK Support
Python
Time to Hello World

Minutes to hours depending on environment

Rate Limit

1000 requests per minute

Free Tier Usage

Open-source, self-hosted usage with unlimited pipelines, limited only by your infrastructure

Use Case: Best For

Developers and teams building LLM orchestration and RAG pipelines in production environments

Not Recommended For

Non-technical users seeking managed SaaS APIs with built-in authentication

Resources

Documentation Official Website Source Code Pricing Details
#search#nlp

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