langchain/docs/versioned_docs/version-0.2.x/integrations/vectorstores/awadb.ipynb

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  {
   "cell_type": "markdown",
   "id": "833c4789",
   "metadata": {},
   "source": [
    "# AwaDB\n",
    ">[AwaDB](https://github.com/awa-ai/awadb) is an AI Native database for the search and storage of embedding vectors used by LLM Applications.\n",
    "\n",
    "This notebook shows how to use functionality related to the `AwaDB`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "252930ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install --upgrade --quiet  awadb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f2b71a47",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain_community.document_loaders import TextLoader\n",
    "from langchain_community.vectorstores import AwaDB\n",
    "from langchain_text_splitters import CharacterTextSplitter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "49be0bac",
   "metadata": {},
   "outputs": [],
   "source": [
    "loader = TextLoader(\"../../modules/state_of_the_union.txt\")\n",
    "documents = loader.load()\n",
    "text_splitter = CharacterTextSplitter(chunk_size=100, chunk_overlap=0)\n",
    "docs = text_splitter.split_documents(documents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "18714278",
   "metadata": {},
   "outputs": [],
   "source": [
    "db = AwaDB.from_documents(docs)\n",
    "query = \"What did the president say about Ketanji Brown Jackson\"\n",
    "docs = db.similarity_search(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4b172de8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence.\n"
     ]
    }
   ],
   "source": [
    "print(docs[0].page_content)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87fec6b5",
   "metadata": {},
   "source": [
    "## Similarity search with score"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17231924",
   "metadata": {},
   "source": [
    "The returned distance score is between 0-1. 0 is dissimilar, 1 is the most similar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f40ddae1",
   "metadata": {},
   "outputs": [],
   "source": [
    "docs = db.similarity_search_with_score(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "93cd0b7a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(Document(page_content='And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence.', metadata={'source': '../../modules/state_of_the_union.txt'}), 0.561813814013747)\n"
     ]
    }
   ],
   "source": [
    "print(docs[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b49fb59",
   "metadata": {},
   "source": [
    "## Restore the table created and added data before"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a0f3b35",
   "metadata": {},
   "source": [
    "AwaDB automatically persists added document data.\n",
    "\n",
    "If you can restore the table you created and added before, you can just do this as below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1fd4b5b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import awadb\n",
    "\n",
    "awadb_client = awadb.Client()\n",
    "ret = awadb_client.Load(\"langchain_awadb\")\n",
    "if ret:\n",
    "    print(\"awadb load table success\")\n",
    "else:\n",
    "    print(\"awadb load table failed\")"
   ]
  },
  {
   "cell_type": "raw",
   "id": "aba255c2",
   "metadata": {},
   "source": [
    "awadb load table success\n"
   ]
  }
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