Open-source vector database powering AI search and retrieval systems
Transform unstructured text into structured knowledge with LLMs via CLI.
AI-powered conversational data analysis with Text-to-SQL via LLMs and RAG
Active memory system designed for AI agents to achieve long-term goals
AI-powered proposal writing assistant for tender documents and bidding workflows
Context compression layer for AI agents — 60-95% fewer tokens, same answers
Open-source LLM-friendly web crawler & scraper for RAG and AI agents
Self-evolving memory OS for LLM agents with 35% token savings
Self-hosted AI stack — LLM inference, chat, voice, agents, workflows, RAG, and image generation. No cloud required.
GPU-accelerated vision agents for AI-powered video analytics with VLMs and LLMs
Transform PDFs and complex documents into LLM-ready markdown for RAG and AI workflows
Technical resources for building AI apps, agents, and systems with Oracle AI Database and OCI services
Open-source graph-vector database built in Rust for AI applications and RAG
Production-ready platform for building and deploying agentic AI workflows with low-code orchestration
Hire a 24/7 AI workforce — deploy autonomous multi-agent systems in 5 lines of code
From a single idea to a full novel — AI-native agent workflows for long-form fiction creation.
Agent-native memory infrastructure — LLM-agnostic persistent state for production AI systems.
Enterprise-grade one-stop AI agent platform with RAG, multi-agent orchestration, and MCP support
Semantic code search MCP that gives AI coding agents full codebase context
Persistent memory compression for Claude Code sessions
Open-source vector database for AI applications and RAG systems
Vector database powering AI search, embeddings, and semantic applications
High-performance vector database for AI-powered search at scale
Learn to build production-grade RAG systems with AI coding agents
Open-source memory infrastructure for stateful AI agents.
A privacy-focused AI answering engine with cited results and local LLM support.
Single-file memory layer for AI agents with instant retrieval and long-term memory
LLM-powered RAG framework for deep document understanding and semantic retrieval
AI驱动的低代码开发平台，零代码与代码生成双模式
Simple and Fast Retrieval-Augmented Generation framework for LLMs
