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AI AgentsIn development
Signal Graph
Signal Graph is being built around one idea: an agent is only trustworthy if you can see how it got its answer. It combines a vector-indexed retrieval layer with an explicit reasoning trace, so every response can be traced back to source documents.
Core capabilities
- Retrieval-augmented generation over FAISS-indexed documents
- Explicit, inspectable reasoning steps
- Pluggable LLM backend
- Source-attributed responses
Frequently asked
What makes this different from a typical RAG chatbot?+
Most RAG demos hide their reasoning. Signal Graph surfaces the retrieval and reasoning steps as a visible trace, so an answer can be checked against its sources.
When will this be available?+
It is in active development. There is no public release date yet.
Use cases
- Internal knowledge assistants
- Document-grounded customer support
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