Semantic Desktop Search - search for answers not the file names
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Updated
Apr 27, 2023 - Rust
Semantic Desktop Search - search for answers not the file names
Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.
A prototype for visualizing and exploring vector document indexes
AI-powered Dropbox search tool for private documents
Simple, High Quality, RAG application using TiDB vector store
Streamlit app for a Blender Helper Bot using a pre-built TiDB vector store
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A Rust binding for the VSAG -- vector indexing and search library.
Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.
Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest neighbor search methods, or vector indexes, using modern embedding datasets.
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
🚀 Build scalable AI applications with Pathway's AI Pipelines for accurate retrieval-augmented generation and enterprise search.
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