{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from leann.api import LeannBuilder, LeannSearcher, LeannChat\n", "# 1. Build index (no embeddings stored!)\n", "builder = LeannBuilder(backend_name=\"hnsw\")\n", "builder.add_text(\"C# is a powerful programming language but it is not very popular\")\n", "builder.add_text(\"Python is a powerful programming language and it is very popular\")\n", "builder.add_text(\"Machine learning transforms industries\") \n", "builder.add_text(\"Neural networks process complex data\")\n", "builder.add_text(\"Leann is a great storage saving engine for RAG on your macbook\")\n", "builder.build_index(\"knowledge.leann\")\n", "# 2. Search with real-time embeddings\n", "searcher = LeannSearcher(\"knowledge.leann\")\n", "results = searcher.search(\"programming languages\", top_k=2, recompute_beighbor_embeddings=True)\n", "print(results)\n", "\n", "llm_config = {\"type\": \"ollama\", \"model\": \"qwen3:8b\"}\n", "\n", "chat = LeannChat(index_path=\"knowledge.leann\", llm_config=llm_config)\n", "\n", "response = chat.ask(\n", " \"Compare the two retrieved programming languages and say which one is more popular today. Respond in a single well-formed sentence.\",\n", " top_k=2,\n", " recompute_beighbor_embeddings=True,\n", ")\n", "print(response)" ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.12" } }, "nbformat": 4, "nbformat_minor": 2 }