Vector Databases Apache 2.0 Low setup 27,975 stars
Overview
Plain English
Search infrastructure for AI.
Technical
Search infrastructure for AI.
Technical scorecard
License Apache 2.0
Commercial use Yes
OpenAI-compatible API No
REST API No
Fine-tuning support No
Quantization support No
Docker available No
GUI / no-code available No
Telemetry None
Offline after setup Yes
Data & Privacy
Does it send data online?
After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.
Does it store history?
Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.
License checks?
Commercial use is marked as allowed or likely allowed by the listed license.
Telemetry?
None
Last verified: May 17, 2026. Maintainer verification should be treated as directory guidance, not legal advice.
Setup & Installation
Low
GUI, low-resource, or simple install path likely available.
Prerequisites
Rust, Docker, Bare Metal
# Start with the official project documentation
# https://www.trychroma.com/Hardware Requirements
RAM8 GB minimum / 16 GB recommended
Hardware tagsCPU Only, Low-resource (< 8GB RAM)
Model formatsNot specified
Primary languageRust
Works Well With
RAGFlow RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs. PrivateGPT Secure document Q&A system designed for sensitive data with no internet connection required for full operation. Marker Fast document converter transforming PDFs, EPUBs, and MOBI files into accurate markdown for LLM ingestion. Haystack (Deepset) Production-ready framework for building RAG and search systems with pipeline architecture and built-in evaluation tools.