Prompt
semantic search API for app
Latest observation
Oct 8, 2026
OpenAI APIWeb search: off
Could you clarify what you need by “semantic search API for app”?
I can help in a few ways:
- Design an API for semantic search
- Recommend tools/services to use
- Write backend code for an API endpoint
- Design a vector database schema
- Help integrate it into your app
If you want, I can give you a quick starter design like:
Example semantic search API
Endpoint: POST /search
{
"query": "wireless noise cancelling headphones",
"filters": {
"category": "electronics",
"price_max": 300
},
"top_k": 10
}
Response:
{
"results": [
{
"id": "prod_123",
"title": "Sony WH-1000XM5",
"score": 0.92,
"snippet": "Premium wireless noise cancelling headphones..."
}
]
}
Typical implementation:
- Create embeddings for your content
- Store them in a vector DB like Pinecone, Weaviate, Milvus, pgvector
- Embed the user query
- Run nearest-neighbor similarity search
- Optionally rerank results with an LLM or cross-encoder
If you tell me your stack (e.g. Node.js, Python, Firebase, PostgreSQL) and what you’re searching (products, docs, chat, images), I can build the API spec or code for you.