Question 1

Why not just use RAG?

Accepted Answer

RAG retrieves relevant documents, but your agent still has to interpret them — and that's where hallucinations happen. Synalinks Memory works differently: knowledge is verified and structured before your agent uses it. Reasoning is deterministic and rule-based, so every answer is traceable to its source. No guessing, no hallucinations.

Question 2

Can I trust AI for production workloads?

Accepted Answer

That's exactly the problem we solve. Synalinks Memory provides deterministic reasoning — same question, same data, same answer, every time. Every result shows its full reasoning chain so you can verify it before shipping to users. Nothing is a black box.

Question 3

What if the agent still hallucinates?

Accepted Answer

Synalinks Memory is designed to prevent that. Your verified knowledge and rules act as guardrails so the reasoning engine can't invent facts. When there isn't enough information to give a reliable answer, it tells you instead of guessing.

Question 4

How is this different from a vector database?

Accepted Answer

Vector databases store embeddings for similarity search. Synalinks Memory goes further: it structures knowledge into verified concepts and rules, then reasons over them deterministically. You get traceable, reproducible answers — not just similar documents.

Question 5

Is it hard to integrate?

Accepted Answer

Not at all. Connect your data sources or upload your files, and the Knowledge Builder starts extracting verified knowledge automatically. Your agents can query the knowledge base through a simple API. Works with any stack.

Question 6

Is my data safe?

Accepted Answer

Absolutely. Each user's data is fully isolated and stored in an encrypted sandbox. Your data is encrypted in transit and at rest, never shared with third parties, and never used to train AI models.

Question 7

Can it handle my specific domain?

Accepted Answer

Synalinks Memory learns your domain vocabulary, concepts, and rules as the Knowledge Builder processes your data. You can also teach it specific rules and relationships. The more knowledge it builds, the better it understands your domain.

Question 8

Is it expensive?

Accepted Answer

You can get started for free. Synalinks Memory offers a free tier so you can try it with your own data before committing. No credit card required.

Question 9

Does the knowledge improve over time?

Accepted Answer

Yes. Every rule the Knowledge Builder learns can be verified by you and combined with other rules. Over time, the knowledge compounds — deeper insights emerge as concepts connect. This is powered by our proprietary memory engine.

Question 10

Are results reproducible?

Accepted Answer

Yes. Because the reasoning is deterministic and rule-based, results stay consistent even when your data changes. You can compare outputs over time with full confidence.

Question 11

What kind of reasoning can it do?

Accepted Answer

Synalinks Memory supports temporal reasoning to track how things evolve, graph reasoning to understand relationships between entities, and advanced analytics to surface patterns and trends. All through a simple API your agents can call.

Blog

GraphRAG vs Synalinks: Retrieval is Not Reasoning

AI Agent Memory: Short-Term, Long-Term & Structured

Build an AI Agent That Never Hallucinates

RAG vs Knowledge Graphs: A Developer's Decision Guide

Traceable AI: Make Your Agents EU AI Act Ready

What Is a Deterministic Reasoning Layer for AI Agents?

Why AI Agent Failures Start at the Memory Layer

Your AI Agent Gave the Wrong Answer. Now What?