Long Term Memory: add time and source to knowdledge atoms

Extend the Neo4J knowledge graph

• add time properties to nodes and relations (created_on, modified_on)
• add source properties to nodes and relations: name of the document, 'store' user command
• fill in these new properties into the responses
• allow queries like "what did you learn on 12.04.25?"

Graphiti

Graphiti is a framework for building and querying temporally-aware knowledge graphs, specifically tailored for AI agents operating in dynamic environments. Unlike traditional retrieval-augmented generation (RAG) methods, Graphiti continuously integrates user interactions, structured and unstructured enterprise data, and external information into a coherent, queryable graph.

Key concepts:

1. Temporal Knowledge Graphs
2. Incremental Updates / Episodic Ingestion
3. Hybrid Retrieval / Search
4. MCP server

Major usecase : Agent Memory

Tasks

Creation of Knowledge Graph

• add_episode - Episodes represent a single data ingestion event. An episode is itself a node, and any nodes identified while ingesting the episode are related to the episode via MENTIONS edges.

  Supported episode types: text, message,json

  Graphiti automatically:

  • Chunks the text
  • Extracts entities + relationships
  • Cleans and normalizes them
  • Stores them in Neo4j
  • Creates embeddings per node

Create a test node in AI-Builder ( wip )

• search -
  • Perform a hybrid search combining semantic similarity and BM25 retrieval
  • Perform a node search using _search method with standard recipes ( There are 15 receipes )

Explore different techniques ( wip )

References

1. https://github.com/getzep/graphiti/tree/main
2. https://help.getzep.com/graphiti/integrations/lang-graph-agent
3. https://help.getzep.com/graphiti/core-concepts/adding-episodes