Welcome to My Knowledge Base Pages
I use this site for publishing links to various libraries and releated documentation as well as short overviews of technologies that I am currently using in my projects or simply interested in learning more about them. The primary goal of publishiung this site is to make this infomation readily availble for me to use or share it with my friends. Other readers are welcomed as they may find this information interetysting as well.
Table of Contents
- General Topics:
- Google AI & Agent Developmnet Kit (ADK):
- LangChain / LangGraph Framework:
- Neo4J Graph Database:
- Oracle Graph Database:
- Various::
- Blogs about projects in my GitHub repository:
- Standing Up Your Own Agents: ENGRAM Adds an Agent Manager Role
- A Brain Between Sessions — and Between Agents: ENGRAM Learns to Recall on Demand
- Memories Worth Sharing: ENGRAM Learns to Be Told What to Keep – and What to Share
- Where Memories Come From: ENGRAM Learns to Track Provenance and Group by Project
- A Mind That Knows What It’s Missing: ENGRAM Now Finds and Closes Its Own Gaps
- Completing the Mind: ENGRAM Now Remembers Conversations from Claude Desktop, ChatGPT, and Gemini
- Claude Code and ENGRAM Knowledge Hub: recalling the good memories together
- ENGRAM Knowledge Hub: A Personal Knowledge Graph That Grows With Your Research
- When Graphs Remember Better Than Summaries
- ENGRAM Part 3: Hippocampal-Inspired Memory – Working Memory, Long-Term Memory, and Periodic Consolidation
- ENGRAM Part 2: Unified Graph Retrieval from Long Documents and Multi-Agent Response Synthesis
- ENGRAM Part 1: GraphRAG with Hippocampal-Like Associative Retrieval
- MCP, A2A, and Human-in-the-Loop: A Multi-Agent Threat Intelligence System in Practice
- A Framework for Testing Agentic Design Patterns Using LangChain & LangGraph
- AI Agent with RAG-Assisted Declarative Query Generation for Data in Oracle Analytic Views
- A Framework for Testing Agentic Design Patterns Using LangChain & LangGraph
- Building a GraphRAG System – Core Infrastructure & Document Ingestion
- GraphRAG Part 2 – Cross-Doc & Sub-graph Extraction, Multi-Vector Entity Representation
- GraphRAG Part 3 – Intelligent MVR, Query Routing and Context Generation
- GraphRAG Part 4 – Community Detection and Embedding, Search and Hybrid Retrieval Integration
- Building a GraphRAG System – Core Infrastructure & Document Ingestion
- Beyond Vector Search: How GraphRAG Enables Smarter AI Responses
- Workflow and Agentic Flow Patterns: Choosing the Right Approach
- The Shifting Landscape of Software Development Roles in the AI Era
- The Hybrid Approach: Bridging Traditional and Agentic Workflows
- RAG at Scale: The Hidden Trade-Offs of Single Vector Embedding
- From Static Rules to Smart Agents: Advent of Agentic Workflows
- Why LLMs and Humans Think Differently: An Amateur Dive into AI’s Compression Problem