Fieldnote FAQs

Question 1

What are the main benefits of using Fieldnote for AI applications?

Accepted Answer

Fieldnote provides AI agents with superpowers: auto-storing memory, auto-recalling and injecting context blocks for improved understanding, and a robust symmetrical knowledge graph for complex information management and reasoning.

Question 2

What is Fieldnote?

Accepted Answer

Fieldnote is a local-first memory and symmetrical knowledge graph solution designed for rapid deployment and intelligent information management, primarily for AI agents and applications.

Question 3

How does Fieldnote store and retrieve memories?

Accepted Answer

It automatically stores and embeds text memories locally using Qdrant (a vector database). For retrieval, it uses hybrid methods, combining dense vector search (MiniLM) with optional sparse retrieval (BGE-M3), to recall relevant context blocks.

Question 4

What is a symmetrical knowledge graph in Fieldnote?

Accepted Answer

Fieldnote integrates with Neo4j to create a symmetrical knowledge graph where every memory can mirror with inverse edges. This ensures clean and consistent data traversal for enhanced information management.

Question 5

Is Fieldnote difficult to set up?

Accepted Answer

No, Fieldnote is designed for rapid deployment. You can clone, start, and use it in minutes using Docker Compose, and it comes with cross-platform CLI tools for easy management.

Fieldnote

Fieldnote

主要功能

使用案例

主要功能

使用案例