OpenAI text-embedding-3-large
High-performance text embedding model optimized for semantic search and retrieval tasks with large-scale document collections.
Use Cases1
Companies1
Industries2
AI Use Cases with OpenAI text-embedding-3-large
1
How Allspice Uses Pinecone to Achieve 97% Ingredient Matching Accuracy
Allspice · Product Development
20% → 97%
Ingredient matching accuracy
20% → 97%Ingredient matching accuracy
Vendor
OpenAI
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Models Used With
Gemini 3.5 Flash
Google's fast reasoning model with a 1M-token context for text, image, video, audio, and document inputs.
Often Used With
Typesense
Open-source search engine with typo tolerance, faceting, and vector search capabilities for building fast, relevant search experiences.
Google Cloud Run
Serverless container platform by Google Cloud for deploying containerized apps without infrastructure management.
Pinecone
Managed vector database by Pinecone for real-time semantic search and similarity matching at scale.
Google Cloud Firestore
Serverless NoSQL document database for storing and syncing app data in real time with offline support and automatic scaling.
Companies
Companies documented using this tool in real use cases.
Vendor
OpenAI
openai.comCompanies
Companies documented using this tool in real use cases.
Get the full context.
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