Name | llama-index-embeddings-oracleai JSON |
Version |
0.1.1
JSON |
| download |
home_page | None |
Summary | llama-index embeddings oracleai integration |
upload_time | 2024-10-15 01:44:19 |
maintainer | None |
docs_url | None |
author | Your Name |
requires_python | <4.0,>=3.8.1 |
license | MIT |
keywords |
|
VCS |
|
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|
requirements |
No requirements were recorded.
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# LlamaIndex Embeddings Integration: Oracleai
This API is to generate an embedding from a text.
`pip install llama-index-embeddings-oracleai`
# A sample example
```python
from typing import TYPE_CHECKING
from llama_index.core.embeddings import BaseEmbedding
from llama_index.embeddings.oracleai import OracleEmbeddings
if TYPE_CHECKING:
import oracledb
""" get the Oracle connection """
conn = oracledb.connect(
user="<user>",
password="<password>",
dsn="<dsn>",
)
print("Oracle connection is established...")
""" params """
embedder_params = {"provider": "<provider_name>", "model": "<model_name>"}
proxy = "<proxy>"
""" instance """
embedder = OracleEmbeddings(conn=conn, params=embedder_params, proxy=proxy)
embed = embedder._get_text_embedding("Hello World, Text!")
print(f"Embedding generated by OracleEmbeddings: {embed}")
embed = embedder._get_query_embedding("Hello World, Query!")
print(f"Embedding generated by OracleEmbeddings: {embed}")
conn.close()
print("Connection is closed.")
```
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"description": "# LlamaIndex Embeddings Integration: Oracleai\n\nThis API is to generate an embedding from a text.\n\n`pip install llama-index-embeddings-oracleai`\n\n# A sample example\n\n```python\nfrom typing import TYPE_CHECKING\nfrom llama_index.core.embeddings import BaseEmbedding\nfrom llama_index.embeddings.oracleai import OracleEmbeddings\n\nif TYPE_CHECKING:\n import oracledb\n\n\"\"\" get the Oracle connection \"\"\"\nconn = oracledb.connect(\n user=\"<user>\",\n password=\"<password>\",\n dsn=\"<dsn>\",\n)\nprint(\"Oracle connection is established...\")\n\n\"\"\" params \"\"\"\nembedder_params = {\"provider\": \"<provider_name>\", \"model\": \"<model_name>\"}\nproxy = \"<proxy>\"\n\n\"\"\" instance \"\"\"\nembedder = OracleEmbeddings(conn=conn, params=embedder_params, proxy=proxy)\n\nembed = embedder._get_text_embedding(\"Hello World, Text!\")\nprint(f\"Embedding generated by OracleEmbeddings: {embed}\")\n\nembed = embedder._get_query_embedding(\"Hello World, Query!\")\nprint(f\"Embedding generated by OracleEmbeddings: {embed}\")\n\nconn.close()\nprint(\"Connection is closed.\")\n```\n",
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