Tagline

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

Provides a vector database for storing and retrieving code snippets through semantic search using Docker containers and sentence-transformers embeddings

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RAG Document Q&A vs Qdrant Vector Database

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