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import ollama from 'ollama'; import OpenAI from 'openai'; // OpenAI-compatible local inference const client = new OpenAI({ baseURL: 'http://localhost:11434/v1', apiKey: 'ollama' }); const response = await client.chat.completions.create({ model: 'llama3.2', messages: [{ role: 'user', content: 'Explain RAG in one paragraph.' }], stream: true, }); for await (const chunk of response) { process.stdout.write(chunk.choices[0]?.delta?.content ?? ''); } // Local embeddings for RAG const { embedding } = await ollama.embeddings({ model: 'nomic-embed-text', prompt: 'search query' }); // Use embedding with your vector store (pgvector, Chroma, Qdrant)