Strategic Context & How To Use:

Enterprise Retrieval-Augmented Generation (RAG) architecture demonstration featuring hybrid dense-sparse vector search and re-ranking pipelines. Demonstrates grounded contextual question answering over proprietary corporate standard operating procedures (SOPs) and technical documentation.

Secure Private RAG Indexing

Vectorize internal corporate knowledge securely into PostgreSQL (pgvector). Zero data retention. Zero public API calls.

Data Source

Integration Target Embedding Model

Connect Data Source

~10,000 documents detected

pgvector_pipeline.log

Ready for vectorization...