27 lines
1.7 KiB
Markdown
27 lines
1.7 KiB
Markdown
---
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title: Roadmap
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---
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## In progress
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**Sovereign LLM deployment** — Open-source models (Llama 3, Mistral) running fully inside your infrastructure. No data ever leaves your network. Currently in active testing with pilot participants.
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**Document ingestion pipeline** — Upload any document (PDF, Word, plain text) and have it indexed, searchable, and available to the model as context. Handling large corpora with proper chunking and metadata.
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**Traceability layer** — Every response cites its sources. The system logs which documents were consulted, with what confidence, and returns a structured audit trail. `pilot-only`
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## Next
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**Contextual memory** — The system learns the regulatory and organisational context of your work over time. Ask a question about GDPR compliance and it already knows you operate under Danish law with specific sector obligations.
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**Agentic query mode** — Instead of single-turn Q&A, the system breaks down a complex question into sub-queries, retrieves evidence for each, and synthesises a structured answer with full provenance.
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**Meeting summary generation** — After a meeting is logged, the system can generate a draft summary, link it to the relevant roadmap items, and post it to the hub for review.
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## Later
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**Self-service agent workflows** — Non-technical users define repeatable tasks (e.g. "summarise all new documents tagged GDPR weekly") that run automatically.
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**Developer API** — A clean REST API for organisations that want to embed Fenja into their own internal tools and workflows.
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**Multi-organisation knowledge graphs** — Separate, permission-controlled knowledge spaces for different departments or organisations within a single deployment.
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