AI-powered document search with Oracle and ONNX embeddings for recruiting

Description

How it works

Create a user for doing Hybrid Search.
Clear Existing Data, if present.
Add Documents into the table.
Create a hybrid index.
Run Semantic search on the Documents table for "prioritize teamwork and leadership experience".
Run Hybrid search for the text input in the Chat interface on the Documents table.

Setup Steps

Download the ONNX model

all_MiniLM_L12_v2_augmented.zip

Extract the ZIP file on the database server into a directory, for example /opt/oracle/onnx.
After extraction, the folder contents should look like:

bash-4.4$ pwd
/opt/oracle/onnx
bash-4.4$ ls
all_MiniLM_L12_v2.onnx

Connect as SYSDBA and create the DBA user


-- Create DBA user
CREATE USER app_admin IDENTIFIED BY "StrongPassword123"
DEFAULT TABLESPACE users
TEMPORARY TABLESPACE temp
QUOTA UNLIMITED ON users;


-- Grant privileges
GRANT DBA TO app_admin;
GRANT CREATE TABLESPACE, ALTER TABLESPACE, DROP TABLESPACE TO app_admin;

Create n8n Oracle DB credentials
hybridsearchuser → for hybrid search operations
dbadocuser → for DBA setup (user and tablespace creation)

Run the workflow

Click the manual Trigger
It displays Pure semantic search results.


Enter search text in Chat interface
It displays results for vector and keyword search.

Note
The workflow currently creates the hybrid search user, docuser with the password visible in plain text inside the n8n Execute SQL node.
For better security, consider performing the user creation manually outside n8n.
Oracle 23ai or 26ai Database has to be used.

Reference
Hybrid Search End-End Example