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AI prompt guides: organization, model comparison, and cost control

Practical, SEO-ready guides on organizing AI prompts, comparing LLMs side by side, routing models for cost and quality, BYOK key management, LLM gateways, and building AI workspaces.

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CategoryGetting started AI gateway Productivity Cost control Use cases Model comparison Prompt engineering

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Embedding Cost Optimization: Cut Vector Costs Without Cutting Recall

Cost control

Aug 27, 20267 min read

Embedding Cost Optimization: Cut Vector Costs Without Cutting Recall

How to cut embedding costs: model choice, dimension reduction, caching, and batching — with real numbers for corpus and query spend.

#embeddings #cost optimization #vector search

Vector Databases Compared in 2026: Which to Choose

AI gateway

Aug 10, 20267 min read

Vector Databases Compared in 2026: Which to Choose

Vector databases compared in 2026: pgvector, Pinecone, Weaviate, Qdrant, Milvus. Features, costs, and how to choose for RAG and semantic search.

#vector database #embeddings #RAG storage

Embedding Models Compared: Picking the Right Vectorizer

Model comparison

Aug 10, 20266 min read

Embedding Models Compared: Picking the Right Vectorizer

Embedding models compared: OpenAI, Cohere, open-source options. Dimensions, cost, retrieval quality, and how to choose for your RAG pipeline.

#embeddings #embedding models #vector search