Topic
Embeddings API Integration Across Languages
13 posts on embeddings api integration across languages — part of api integration on the n4n AI blog.
Voyage AI embeddings in Python: setup and first request
Step-by-step guide to setting up Voyage AI embeddings in Python: install the client, make your first request, handle batches, and verify output vectors.
Using Cohere embed-v4 with Node.js
Step-by-step guide to integrating Cohere embed-v4 with Node.js: install SDK, handle input types, batch requests, and verify embeddings in production.
Storing OpenAI embeddings in Postgres with Go
Practical guide to store OpenAI embeddings in Postgres with Go: generate vectors via API, create pgvector tables, insert rows, and run similarity search.
Node.js vs Python for embeddings API calls: a latency test
A hands-on latency comparison of Node.js vs Python for embeddings API calls, covering throughput, ergonomics, and cost to help you choose.
Handling embeddings API rate limits in Node.js
Practical steps to handle embeddings API rate limits in Node.js with retry, backoff, batching, and fallback for resilient production pipelines.
Building a Go embeddings pipeline with pgvector
Step-by-step guide to building a Go embeddings pipeline with pgvector: call an embeddings API, store vectors in Postgres, and run similarity search.
Batch embeddings in Python with text-embedding-3-small
Step-by-step guide to running batch embeddings python text-embedding-3-small with OpenAI's API, including concurrency, retries, and verification.
How to call OpenAI's text-embedding-3-large from Python
Step-by-step guide to calling OpenAI's text-embedding-3-large from Python: setup, batching, dimensions, error handling, and verification with runnable code examples.
Generating embeddings with Node.js and the OpenAI API
Learn how to generate OpenAI embeddings with Node.js: project setup, batching, model choices, error retries, and a cosine-similarity check to verify output.
Five embeddings APIs compared: OpenAI, Cohere, Voyage, Gemini, Mistral
A practitioner's breakdown of OpenAI, Cohere, Voyage, Gemini, and Mistral embeddings APIs: dimensions, token limits, SDK quirks, and code samples.
Embeddings API integration in Python: a complete walkthrough
A practical guide to embeddings api integration python: from client setup, batching, and error handling to caching and production pitfalls.
Async embeddings requests in Python with asyncio and aiohttp
Practical guide to async embeddings python asyncio with aiohttp: concurrent batch requests, retries, and verification for production embedding pipelines.
A Go client for OpenAI embeddings in under 50 lines
Hands-on tutorial: build a minimal openai embeddings go client in pure Go with standard library, including batching, error handling, and expected output.
More topics in api integration
- Function Calling Fundamentals27
- Structured Outputs & JSON Mode19
- cURL LLM API Cookbook15
- Integrating GPT-5, Claude Opus 4.8, Gemini 3, Llama 4 & More via One API15
- Next.js AI Chat Integration (App Router + Vercel AI SDK)15
- FastAPI LLM Backend Integration14
- Go net/http LLM API Client14
- LangChain + OpenAI-Compatible Gateway Integration14
- Node.js OpenAI-Compatible SDK Integration14
- Python + OpenAI-Compatible SDK Integration14
- Rate Limits, Retries & Backoff Strategies14
- React Streaming Chat UI Patterns14