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Users add documents to their private knowledge base.
Reliable AI for private knowledge
Turn your knowledge into answers you can trust.
FullFact builds AI tools that help people turn private documents and organizational knowledge into grounded, verifiable answers.
Our first product, AskMeMind, combines retrieval-augmented generation, intelligent search, and source citations to make document intelligence more useful and trustworthy.
Built around RAG, retrieval quality, source attribution, and measurable evaluation.
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Product
Meet AskMeMind
AskMeMind is an AI-powered document assistant that lets users upload private documents, ask questions in natural language, and receive answers grounded in retrieved source material.
Instead of relying entirely on a language model's internal knowledge, AskMeMind retrieves relevant information from the user's own documents and uses that context to generate verifiable answers.
Document ingestionDocument processing and chunkingEmbeddingsSemantic retrievalHybrid retrievalGrounded AI answersSource citationsAuthenticationRetrieval evaluationPrivate document knowledge base
Workflow
From document to grounded answer
Process
AskMeMind extracts, chunks, embeds, and indexes the content for retrieval.
Ask
Users ask questions naturally instead of manually searching through documents.
Answer with evidence
Relevant context is retrieved and used to generate a grounded answer with source citations.
DocumentsIndexRetrieveReasonAnswer + Citations
AI answers are more useful when they can be verified.
Unconstrained LLM responses can be difficult to trust when working with private or organization-specific knowledge. AskMeMind is designed around retrieval and source attribution.
Relevant document context is retrieved before an answer is generated, giving users a clear path back to the information behind the response.
Grounded context
Answers are generated using retrieved source material.
Inspectable sources
Citations help users inspect where an answer came from.
Measured retrieval
Retrieval performance can be measured instead of relying only on subjective output quality.
Technology
Built for reliable AI workflows
The system is designed around retrieval quality, grounded generation, source attribution, and measurable evaluation rather than relying on unconstrained model output.
PythonFastAPIPostgreSQLpgvectorVector searchRAGHybrid retrievalLLM integrationRetrieval evaluation
DocumentsProcessing & ChunkingEmbeddingsPostgreSQL + pgvectorRetrievalLLM reasoningGrounded answer + citations
Building toward more capable AI reasoning
We are exploring Claude as a reasoning and generation layer for advanced document understanding, long-context workflows, grounded generation, tool use, and future agentic capabilities.
The goal is to move beyond simple document Q&A toward AI assistants that can reason across private knowledge, use tools, and complete multi-step workflows while remaining grounded in source information.
Principles
Principles behind FullFact
Evidence-connected output
AI output should be connected to evidence whenever possible.
Inspectable sources
Users should be able to inspect the sources behind important answers.
Meaningful evaluation
AI systems should be evaluated with meaningful metrics, not only demos.
Private knowledge boundaries
Private knowledge should remain isolated and protected by the application architecture.
Where we're going
FullFact is exploring multi-document reasoning, improved hybrid retrieval, stronger retrieval evaluation, long-context document understanding, tool use, agentic workflows as a roadmap for more useful document intelligence. These are active directions, not claims of completed functionality.
About
About FullFact
FullFact is an independent AI software project focused on building practical, reliable tools for working with private knowledge.
We are starting with document intelligence through AskMeMind and exploring how retrieval, modern language models, evaluation, and agentic workflows can be combined into trustworthy AI systems.
Current focus
Reliable document intelligence for private knowledge bases, grounded answers, source citations, and better retrieval evaluation.
Ask better questions with AskMeMind
Your documents already contain the answers.
Turn private documents into searchable, conversational knowledge.
Launch AskMeMind