Retrieval-Augmented PDF Reader
Ollama Llama 2LangChainDuckDuckGo Search
A document intelligence system leveraging LangChain for orchestration and Ollama for efficient local inference. It enables Retrieval-Augmented Generation (RAG) to provide relevant responses based on prompt-driven queries over PDFs.
Key Features
- Context-aware document understanding
- Efficient local inference for RAG
- Enhanced search precision using DuckDuckGo
- Dynamic prompt-driven responses
Challenge
Ensuring accurate retrieval and reasoning over complex PDFs
Solution
Implemented RAG with LangChain for structured orchestration and leveraged Ollama for efficient local inference