Fast Full Text Search based on BM25
Enhance GPT-3.5-Turbo output using Retrieval-Augmented Generation (RAG) with a user-friendly interface. Select between Wikipedia or integrate external documents to experience precise, context-aware responses.
A tiny embedded Java-engine for extremely fast partitioned immutable-after-construction databases
A content navigator powered by GPT-3.5-Turbo to explore multiple documents uploaded using Streamlit UI. It uses `Document Array Memory` for small and `Pinecone` for large document pools and delivers concise, referenced search results.
"Any word from set that exactly begins with" fast search index.
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