🧬🔍🗄️ 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.
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Updated
Mar 24, 2024 - Go
🧬🔍🗄️ 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.
Kikiola is a high-performance vector database written in Go.
Chroma DB vector database, with embedding and reranker models to implement a Retrieval Augmented Generation (RAG) system.
Go wrapper for bert.cpp embeddings library using cgo/dll approach.
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
Fast & less costly AI decision making and intelligent processing of multi-modal data.
go native port of annoy. Approximate Nearest Neighbors in optimized for memory usage and loading/saving to disk.
Call Gemini (https://ai.google.dev) embedding models with OpenAI-compatible endpoints
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
The Go client for Chroma vector database
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