langchain version (#242)

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lancedb · Sep 17, 2024 · 47b2987 · 47b2987
1 parent 581eda0
commit 47b2987
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diff --git a/examples/Contextual-Compression-with-RAG/main.ipynb b/examples/Contextual-Compression-with-RAG/main.ipynb
@@ -83,7 +83,6 @@
  "source": [
  "from langchain.llms import HuggingFaceHub\n",
  "from langchain.document_loaders import PyPDFLoader\n",
- "from langchain.vectorstores import Chroma\n",
  "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
  "from langchain.embeddings import SentenceTransformerEmbeddings\n",
  "from langchain.prompts import PromptTemplate\n",
@@ -514,6 +513,31 @@
  "### Instantiate VectorStore (LanceDB)"
  ]
  },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "09ce605a-93ab-4734-8784-3b57dd330722",
+ "metadata": {
+ "id": "09ce605a-93ab-4734-8784-3b57dd330722"
+ },
+ "outputs": [],
+ "source": [
+ "import lancedb\n",
+ "\n",
+ "context_data = lancedb.connect(\"./.lancedb\")\n",
+ "table = context_data.create_table(\n",
+ " \"context\",\n",
+ " data=[\n",
+ " {\n",
+ " \"vector\": embeddings.embed_query(\"Hello World\"),\n",
+ " \"text\": \"Hello World\",\n",
+ " \"id\": \"1\",\n",
+ " }\n",
+ " ],\n",
+ " mode=\"overwrite\",\n",
+ ")"
+ ]
+ },
  {
  "cell_type": "markdown",
  "id": "b0ea8f72-5f32-4c79-a76a-123cae04041e",