Aktilot - Build AI Agents that understands your documents.
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Aktilot is a self-hosted, open-source RAG platform for chatting with your documents. Hybrid BM25 + vector retrieval, durable Temporal workflows, full observability, and cited answers — all running on your own infrastructure. No data leaves your servers.
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👋 Hi everyone!
I'm Vikas, the creator of Aktilot. (https://github.com/vikas0686/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. 🚀