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Merged
merged 3 commits into from
Apr 7, 2025
Merged

chore: Update PGVectorstore quickstart #183

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2b25e28
chore: Update PGVectorstore quickstart
dishaprakash Apr 7, 2025
e6414c9
remove chatstore lint
dishaprakash Apr 7, 2025
14bc67e
Update pg_vectorstore.ipynb
averikitsch Apr 7, 2025
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49 changes: 24 additions & 25 deletions examples/pg_vectorstore.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -76,7 +76,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"id": "irl7eMFnSPZr",
"metadata": {
"id": "irl7eMFnSPZr"
Expand All @@ -90,7 +90,7 @@
"POSTGRES_PORT = \"6024\" # @param {type: \"string\"}\n",
"POSTGRES_DB = \"langchain\" # @param {type: \"string\"}\n",
"TABLE_NAME = \"vectorstore\" # @param {type: \"string\"}\n",
"VECTOR_SIZE = 768 # @param {type: \"int\"}"
"VECTOR_SIZE = 1024 # @param {type: \"int\"}"
]
},
{
Expand Down Expand Up @@ -118,7 +118,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -132,13 +132,13 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"from langchain_postgres import PGEngine\n",
"\n",
"engine = PGEngine.from_connection_string(url=CONNECTION_STRING)"
"pg_engine = PGEngine.from_connection_string(url=CONNECTION_STRING)"
]
},
{
Expand All @@ -152,7 +152,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -178,13 +178,13 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 7,
"metadata": {
"id": "avlyHEMn6gzU"
},
"outputs": [],
"source": [
"await engine.ainit_vectorstore_table(\n",
"await pg_engine.ainit_vectorstore_table(\n",
" table_name=TABLE_NAME,\n",
" vector_size=VECTOR_SIZE,\n",
")"
Expand All @@ -200,7 +200,7 @@
"```python\n",
"SCHEMA_NAME=\"my_schema\"\n",
"\n",
"await engine.ainit_vectorstore_table(\n",
"await pg_engine.ainit_vectorstore_table(\n",
" table_name=TABLE_NAME,\n",
" vector_size=768,\n",
" schema_name=SCHEMA_NAME, # Default: \"public\"\n",
Expand All @@ -219,7 +219,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 8,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
Expand All @@ -231,7 +231,7 @@
"source": [
"from langchain_cohere import CohereEmbeddings\n",
"\n",
"embedding = CohereEmbeddings()"
"embedding = CohereEmbeddings(model=\"embed-english-v3.0\")"
]
},
{
Expand All @@ -245,7 +245,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 9,
"metadata": {
"id": "z-AZyzAQ7bsf"
},
Expand All @@ -254,7 +254,7 @@
"from langchain_postgres import PGVectorStore\n",
"\n",
"store = await PGVectorStore.create(\n",
" engine=engine,\n",
" engine=pg_engine,\n",
" table_name=TABLE_NAME,\n",
" # schema_name=SCHEMA_NAME,\n",
" embedding_service=embedding,\n",
Expand All @@ -272,7 +272,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -298,10 +298,9 @@
"store_with_documents = await PGVectorStore.afrom_documents(\n",
" documents=docs,\n",
" ids=ids,\n",
" engine=engine,\n",
" engine=pg_engine,\n",
" table_name=TABLE_NAME,\n",
" # schema_name=SCHEMA_NAME,\n",
" embedding_service=embedding,\n",
" embedding=embedding,\n",
")"
]
},
Expand Down Expand Up @@ -389,7 +388,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -408,7 +407,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -424,7 +423,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -444,7 +443,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -454,7 +453,7 @@
"TABLE_NAME = \"vectorstore_custom\"\n",
"# SCHEMA_NAME = \"my_schema\"\n",
"\n",
"await engine.ainit_vectorstore_table(\n",
"await pg_engine.ainit_vectorstore_table(\n",
" table_name=TABLE_NAME,\n",
" # schema_name=SCHEMA_NAME,\n",
" vector_size=VECTOR_SIZE,\n",
Expand All @@ -464,7 +463,7 @@
"\n",
"# Initialize PGVectorStore\n",
"custom_store = await PGVectorStore.create(\n",
" engine=engine,\n",
" engine=pg_engine,\n",
" table_name=TABLE_NAME,\n",
" # schema_name=SCHEMA_NAME,\n",
" embedding_service=embedding,\n",
Expand Down Expand Up @@ -578,7 +577,7 @@
"\n",
"# Initialize PGVectorStore\n",
"custom_store = await PGVectorStore.create(\n",
" engine=engine,\n",
" engine=pg_engine,\n",
" table_name=TABLE_NAME,\n",
" # schema_name=SCHEMA_NAME,\n",
" embedding_service=embedding,\n",
Expand Down Expand Up @@ -685,7 +684,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
"version": "3.12.8"
}
},
"nbformat": 4,
Expand Down