Intercontinental Hotels Group Plc /New/
AI-native vector embeddings for Intercontinental Hotels Group Plc /New/ quarterly earnings calls
Ticker
IHG
Coverage
2020–present
Embedding dims
768
Model
gemini-embedding-2-preview
About IHG Earnings Embeddings
VectorFin provides vector embeddings for every Intercontinental Hotels Group Plc /New/ earnings call from 2020 through the present quarter. Each earnings call transcript is chunked into semantically coherent segments and vectorized using Google's gemini-embedding-2-preview model, producing 768-dimensional dense vectors optimized for cosine similarity search.
All data is bitemporal: every embedding chunk carries an effective_ts (when the earnings call occurred) and a knowledge_ts (when VectorFin ingested and vectorized the data). This enables point-in-time backtesting — query the data as it was known at any historical date.
Embedding data is updated within 24 hours of each earnings call. The full history is available via REST API (all plans) or as Apache Iceberg tables on GCS (Pro+ plans), queryable natively from Snowflake and BigQuery.
Common IHG use cases include quarter-over-quarter sentiment comparison, similarity search for analogous commentary at peers, and Retrieval-Augmented Generation (RAG) — grounding LLM answers about Intercontinental Hotels Group Plc /New/ in citable transcript chunks.
Available fiscal periods
Showing recent 8 quarters. 2020–present available via API (beta).
Access via API
# Fetch IHG embeddings for the latest quarter
curl https://api.vectorfinancials.com/v1/embeddings/IHG \
-H "X-API-Key: vf_sk_your_key_here" \
-G \
-d "fiscal_period=2024-Q4" \
-d "limit=10"
# Response: a JSON array of embedding records (vectors only, no raw text)
[{
"ticker": "IHG",
"fiscal_period": "2024-Q4",
"chunk_idx": 0,
"embedding": [0.023, -0.091, ...],
"effective_ts": "2025-01-30T00:00:00Z",
"knowledge_ts": "2025-01-31T06:00:00Z",
"model_version": "gemini-embedding-2-preview"
}]Start using IHG embeddings today
Free tier includes top 100 tickers with 250 API calls/month.