
Best AI Models for RAG - March 2026
Gemini 2.5 Flash leads RAG generation accuracy at 87% on LIT-RAGBench, while o3 tops multi-hop reasoning and Qwen3-235B is the best open-source option.

Gemini 2.5 Flash leads RAG generation accuracy at 87% on LIT-RAGBench, while o3 tops multi-hop reasoning and Qwen3-235B is the best open-source option.

How to migrate your RAG pipeline from LangChain to LlamaIndex, with side-by-side code examples for document loading, indexing, querying, and agents.

Embedding API costs compared for OpenAI, Cohere, Voyage AI, Google, Mistral, and Jina - normalized to price per million tokens with MTEB quality scores.

How to move your vector search workload from Pinecone to PostgreSQL with pgvector, including schema mapping, data migration, and cost savings of up to 75%.

A beginner-friendly explanation of AI embeddings - the technique that turns text into numbers so machines can understand meaning, power search, and enable RAG.

Rankings of the best embedding models by MTEB scores, comparing retrieval quality, dimensions, speed, and pricing for RAG and search.