Local RAG Implementation for Analysis
Budget: $30 – $250 USD
*URGENT
I need a developer to build a local RAG implementation for interview records.
I have a collection of interview transcripts/records. The system should store them in a vector database, retrieve relevant examples, and generate N similar sentences based on the stored interview content.
Main Requirements:
Process and store interview records in a vector database
Use embeddings for semantic search
Retrieve similar interview sentences or sections
Generate a requested number of similar sentences based on the retrieved context
Run locally or in a private environment
Simple interface or API to input a query and number of sentences
Clean, documented code
I need a developer to build a local RAG implementation for interview records.
I have a collection of interview transcripts/records. The system should store them in a vector database, retrieve relevant examples, and generate N similar sentences based on the stored interview content.
Main Requirements:
Process and store interview records in a vector database
Use embeddings for semantic search
Retrieve similar interview sentences or sections
Generate a requested number of similar sentences based on the retrieved context
Run locally or in a private environment
Simple interface or API to input a query and number of sentences
Clean, documented code
Related categories:
Python
Software Architecture
MySQL
Database Programming
OpenAI
Natural Language Processing
Vector Databases