What is Aktilot?
Aktilot is a self-hosted, open-source RAG platform for chatting with your documents on your own infrastructure. It ingests files such as PDF, Word, and plaintext and builds searchable knowledge bases using hybrid BM25 plus vector retrieval, combining keyword and semantic search. Every response answers with sources, exposing the source documents, chunk positions, and relevance scores, and the platform surfaces full retrieval traces and timing data for observability. It is durable by design, using Temporal workflows for fault tolerance and automatic retries, and supports multiple LLM providers including local models. Projects are isolated with separate vector stores per knowledge domain, and deployment is Docker-based so no data leaves your servers. Aktilot is best for engineering teams and organizations handling sensitive documents that need data sovereignty and cited answers rather than a hosted SaaS. It is open-source with no per-seat or per-query fees, though running it requires your own infrastructure. Because it is self-hosted, teams take on setup, hosting, and maintenance in exchange for keeping data on-premises.
What is Aktilot used for?
Best for engineering teams that need self-hosted, cited RAG over sensitive documents with full data sovereignty.
How much does Aktilot cost?
Open source (self-hosted)
Open-source with no per-seat or per-query fees; you provide and pay for your own infrastructure
Pros and cons
Pros
- Fully self-hosted and open-source, so no document data leaves your servers
- Hybrid BM25 + vector retrieval combines keyword and semantic search
- Answers include sources: source documents, chunk positions, and relevance scores
- Durable Temporal workflows provide fault tolerance and automatic retries
- Per-project isolated vector stores and multi-LLM support including local models
Cons
- Self-hosting means you own setup, infrastructure, hosting costs, and maintenance
- Docker and RAG operational knowledge are needed to deploy and run it
- No managed/hosted option, which raises the barrier for non-technical teams
- As a newer open-source project, ecosystem and integrations may still be maturing
Questions about Aktilot
What is Aktilot used for?
Aktilot is used to build self-hosted RAG systems that chat with your documents. It ingests PDFs, Word, and text, retrieves with hybrid BM25 plus vectors, and returns cited answers, all on your own infrastructure.
Is Aktilot open source and free?
Yes. Aktilot is open-source and self-hosted with no per-seat or per-query fees. You run it on your own servers via Docker, so you cover your own infrastructure costs.
Does Aktilot keep my data private?
Yes. Because Aktilot is self-hosted, no data leaves your servers. It also supports local LLM models, so document content need not be sent to external providers.
How does Aktilot cite its answers?
Aktilot answers with sources every time, exposing the source documents, chunk positions, and relevance scores, plus full retrieval traces and timing for observability.
What are the best alternatives to Aktilot?
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