Distributed vector search for AI-native applications
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Updated
Jul 3, 2024 - Go
Distributed vector search for AI-native applications
Go Bindings for BERT NLP Models
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
DocsGPT is a powerful web app that allows you to embed your documents then query them using natural language
Go implementation of @Qdrant/fastembed.
Access Gemini LLMs from the command-line
go native port of annoy. Approximate Nearest Neighbors in optimized for memory usage and loading/saving to disk.
🧬🔍🗄️ Unlock the power of vector indexing and search in your Go applications with the HNSW algorithm for approximate nearest neighbor search, seamlessly embedded within your application.
Go library for document management and vector-based querying, ideal for NLP and AI applications.
Fast & less costly AI decision making and intelligent processing of multi-modal data.
Kikiola is a high-performance vector database written in Go.
Telegram bot that allows users to create and chat with multiple personalized AI assistants each with a relevant history
Go module for fetching embeddings from embeddings providers
Metadata management in Go
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