llama-index-embeddings-oracleai

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
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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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