Verified claim · AI-ML · 100% confidence
Haystack publicly released on: 2020-04 by deepset GmbH.
Last verified 2026-05-16 · Methodology veritas-v0.1 · 6218cda83723327f
Structured fields
- Subject
- Haystack
- Predicate
publicly_released_on- Object
- 2020-04 by deepset GmbH
- Confidence
- 100%
- Tags
- haystack · deepset · framework · rag · open-source · released_on · 2020
Sources (2)
[1] github release · deepset GmbH · 2020-04-23
Haystack v0.1.0 — first public release“Haystack is an end-to-end framework for building NLP applications. It includes building blocks for search systems with semantic search, question answering, summarization, and conversational AI.”
[2] docs · deepset GmbH · 2020-04-23
Haystack — official documentation
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Haystack publicly released on: 2020-04 by deepset GmbH. — SourceScore Claim 6218cda83723327f (verified 2026-05-16). https://sourcescore.org/api/v1/claims/6218cda83723327f.jsonEmbed this claim
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Use this claim in your code
Fetch this signed envelope from your application. The response includes the verbatim excerpt, primary source URLs, and an HMAC-SHA256 signature you can verify locally for audit trails.
cURL
curl https://sourcescore.org/api/v1/claims/6218cda83723327f.jsonJavaScript / TypeScript
const r = await fetch("https://sourcescore.org/api/v1/claims/6218cda83723327f.json");
const envelope = await r.json();
console.log(envelope.claim.statement);
// "Haystack publicly released on: 2020-04 by deepset GmbH."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/6218cda83723327f.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Haystack publicly released on: 2020-04 by deepset GmbH."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_haystack_fact() -> dict:
"""Fetch the verified SourceScore claim for Haystack."""
r = httpx.get("https://sourcescore.org/api/v1/claims/6218cda83723327f.json")
return r.json()