Implementing RAG? Here are some codesnippets in Golang..
This little Reranking Go code example is calling Ollama to generate embeddings for the query and for eache candidate document, then sorting descending by cosine similarity.
New awesome LLMs available in Ollama
The Qwen3 Embedding and Reranker models are the latest releases in the Qwen family, specifically designed for advanced text embedding, retrieval, and reranking tasks.
Configuring ollama for parallel requests executions.
When the Ollama server receives two requests at the same time, its behavior depends on its configuration and available system resources.
A python code of RAG's reranking
Requires some experimenting but
Still there are some common approaches how to write good prompts so LLM would not get confused trying to understand what you wand from it.
8 llama3 (Meta+) and 5 phi3 (Microsoft) LLM versions
Testing how models with different number of parameters and quantization are behaving.
