Data EngineeringExperimental
AI-Powered Data Processing Pipeline
An experimental data ingestion pipeline. Listens to system logs, cleans text formats, and chunks data to build vector indices for real-time diagnostics.
Role
Data Pipeline Engineer
Status
Experimental
Type
Automated Logs Indexer
Timeline
R&D Phase
Core Stack
Python + FastAPI
Stack
Technologies Used
PythonFastAPIPineconeOpenAI APIPandasPostgreSQL
Features
Key Features
Asynchronous file processing node handling bulk logs.
Semantic chunking logic splitting data by context shifts.
Vector indexing pipeline saving coordinates in Pinecone database.
Interactive query dashboard looking up error sources using natural language.
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