Fast Full Text Search based on BM25
Typo-tolerant, in-memory autocomplete for .NET
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 complete, extensible Lucene-like query language: hand-written parser, serializer, and in-memory search engine with real chronological date/time support. Zero dependencies.
A tiny embedded Java-engine for extremely fast partitioned immutable-after-construction databases
A high-performance in-memory search engine exposing endpoints for both autocomplete and fuzzy search.
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.
Configurable fast text search index
To associate your repository with the in-memory-search topic, visit your repo's landing page and select "manage topics."