60 lines
1.8 KiB
Plaintext
60 lines
1.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from leann.api import LeannBuilder, LeannSearcher, LeannChat\n",
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"\n",
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"# 1. Build the index (no embeddings stored!)\n",
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"builder = LeannBuilder(backend_name=\"hnsw\")\n",
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"builder.add_text(\"C# is a powerful programming language\")\n",
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"builder.add_text(\"Python is a powerful programming language and it is very popular\")\n",
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"builder.add_text(\"Machine learning transforms industries\")\n",
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"builder.add_text(\"Neural networks process complex data\")\n",
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"builder.add_text(\"Leann is a great storage saving engine for RAG on your MacBook\")\n",
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"builder.build_index(\"knowledge.leann\")\n",
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"\n",
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"# 2. Search with real-time embeddings\n",
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"searcher = LeannSearcher(\"knowledge.leann\")\n",
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"results = searcher.search(\"programming languages\", top_k=2)\n",
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"\n",
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"# 3. Chat with LEANN using retrieved results\n",
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"llm_config = {\n",
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" \"type\": \"ollama\",\n",
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" \"model\": \"llama3.2:1b\"\n",
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"}\n",
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"\n",
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"chat = LeannChat(index_path=\"knowledge.leann\", llm_config=llm_config)\n",
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"response = chat.ask(\n",
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" \"Compare the two retrieved programming languages and say which one is more popular today.\",\n",
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" top_k=2,\n",
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")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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