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docs: Improved notebook for vector store "HANA Cloud" (#18496)

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- **Description:**
This PR fixes some issues in the Jupyter notebook for the VectorStore
"SAP HANA Cloud Vector Engine":
    * Slight textual adaptations
    * Fix of wrong column name VEC_META (was: VEC_METADATA)

  - **Issue:** N/A
  - **Dependencies:** no new dependecies added
  - **Twitter handle:** @sapopensource

path to notebook:
`docs/docs/integrations/vectorstores/hanavector.ipynb`
This commit is contained in:
Martin Kolb 2024-03-04 19:44:16 +01:00 committed by GitHub
parent 8461700738
commit 63702a2044
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1 changed files with 12 additions and 10 deletions
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docs/docs/integrations/vectorstores/sap_hanavector.ipynb
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@ -34,7 +34,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"To use `OpenAIEmbeddings` we use the OpenAI API Key."
"For `OpenAIEmbeddings` we use the OpenAI API key from the environment."
]
},
{
@ -57,7 +57,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Create a database connection to a HANA Cloud instance"
"Create a database connection to a HANA Cloud instance."
]
},
{
@ -170,7 +170,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Perform a query to get the two best-matching document chunks from the ones that we added in the previous step.\n",
"Perform a query to get the two best-matching document chunks from the ones that were added in the previous step.\n",
"By default \"Cosine Similarity\" is used for the search."
]
},
@ -527,10 +527,11 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"As default behaviour, the table for the embeddings is created with 3 columns\n",
"* A column `VEC_TEXT`, which contains the text of the Document\n",
"* A column `VEC_METADATA`, which contains the metadata of the Document\n",
"* A column `VEC_VECTOR`, which contains the embeddings-vector of the document's text"
"As default behaviour, the table for the embeddings is created with 3 columns:\n",
"\n",
"- A column `VEC_TEXT`, which contains the text of the Document\n",
"- A column `VEC_META`, which contains the metadata of the Document\n",
"- A column `VEC_VECTOR`, which contains the embeddings-vector of the Document's text"
]
},
{
@ -609,9 +610,10 @@
"metadata": {},
"source": [
"Custom tables must have at least three columns that match the semantics of a standard table\n",
"* A column with type `NCLOB` or `NVARCHAR` for the text/context of the embeddings\n",
"* A column with type `NCLOB` or `NVARCHAR` for the metadata \n",
"* A column with type REAL_VECTOR for the embedding vector\n",
"\n",
"- A column with type `NCLOB` or `NVARCHAR` for the text/context of the embeddings\n",
"- A column with type `NCLOB` or `NVARCHAR` for the metadata \n",
"- A column with type `REAL_VECTOR` for the embedding vector\n",
"\n",
"The table can contain additional columns. When new Documents are inserted into the table, these additional columns must allow NULL values."
]