Articles tagged “embeddings”
7 articles
Pinecone vs Qdrant vs Weaviate
Qdrant leads on raw performance (20ms p95, 15K QPS). Pinecone is the simplest managed option. Weaviate has the best hybrid search. The full comparison for.
·APIScout Team
Building an AI-Powered App: Choosing Your API Stack
The complete API stack for AI applications — LLM providers, embedding APIs, vector databases, guardrails, monitoring, and how to connect them all now.
·APIScout Team
Cohere vs OpenAI: Enterprise NLP API Comparison
Cohere's Embed v4 leads MTEB at 65.2 and Rerank 3.5 costs $2/1K searches. OpenAI has the broader ecosystem. We compare embeddings, RAG, and generation.
·APIScout Team
Embedding Models Compared (2026)
Which embedding model should you use for RAG in 2026? OpenAI text-embedding-3-small vs Cohere embed-v3 vs Voyage AI vs nomic-embed — MTEB benchmarks, cost.
·APIScout Team
How to Build a RAG App with Cohere Embeddings
Step-by-step guide to building retrieval-augmented generation with Cohere — embeddings, vector search, document chunking, and conversational RAG here.
·APIScout Team
Vector Database APIs Compared (2026)
Pinecone serverless costs $0.33/GB storage plus $8.25/1M reads — zero ops but expensive at scale. Qdrant delivers 22ms p95 latency at half the cost in 2026.
·APIScout Team
Building a RAG Pipeline (2026)
Retrieval-Augmented Generation (RAG) needs a vector database. Pinecone, Weaviate, and pgvector compared — performance, cost, setup, and when each wins.
·APIScout Team
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