Document Indexer vs RAG Document Q&A

Monitors local document folders and maintains a searchable vector index using LanceDB and sentence transformers, enabling natural language queries across personal document collections with automatic file change detection and local LLM-powered summarization.

RAG-powered document question-answering using FAISS vector search, Sentence Transformers, and Groq LLM for grounded answers from private documents.

Models

Models

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