Aktilot is an open-source platform designed for secure and private document interaction. Key features include:
• Hybrid BM25 + vector retrieval for precise search
• Durable, auto-retrying workflows for reliability
• Full per-query pipeline trace for transparency
• Cited answers with source attribution
• Self-hosted architecture ensuring data residency
This platform transforms how teams access information, allowing users to pose questions in plain English and receive accurate, referenced responses without compromising data privacy. It handles diverse document types like PDF, Word, and plain text, automatically processing and indexing them for efficient retrieval. Projects are isolated, ensuring knowledge segmentation for different teams or sensitive use cases.
Aktilot provides agents with configurable system prompts and retrieval depths, allowing for different personas within the same knowledge base, such as a customer support bot versus an internal audit agent. Every response is accompanied by exact document chunks, including filename and relevance score, minimizing unsupported claims. The user interface offers complete transparency, showing detailed retrieval traces for each query, from keyword extraction to reranking and context assembly.
Ideal for organizations with strict data governance requirements, engineering teams building internal knowledge systems, and any entity seeking a powerful, private Q&A system for their documents. It eliminates the need for manual data searching or reliance on third-party hosted services.
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