👋 Hi everyone! I'm Vikas, the creator of Aktilot. I started building Aktilot because I realized that building a production AI application involves much more than just connecting an LLM to a vector database. You need document ingestion, hybrid search, reranking, workflow orchestration, benchmarking, observability, and evaluation—all working together. Aktilot is an open-source AI platform that helps developers build, evaluate, and operate production-ready AI applications. What you can do with Aktilot 📄 Chat with your documents using RAG 🔍 Hybrid search (vector + keyword) 🔄 Workflow orchestration for AI pipelines 📈 Built-in observability and execution insights 🤖 Support for both cloud and local LLMs (including Ollama) My goal is simple: make it easier for developers to move from AI prototypes to production systems. Aktilot is completely open source, and I'd love your feedback. A few questions for the community: - What's been the biggest challenge in taking an AI application to production? - Which feature would make Aktilot most valuable for your team? Thanks for checking it out! I'll be here throughout the day to answer questions and discuss ideas. 🚀

Aktilot

Build AI Agents that understands your documents.

Build AI Agents that understands your documents.