Posts
All the articles I've posted.
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DeepCoWork: Building an AI Agent Desktop App with Deep Agents SDK
An open-source AI agent desktop app built with LangChain Deep Agents SDK + Tauri 2. Architecture, core features, and the design decisions behind it.
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Building a GraphRAG Pipeline — From Vector Search to Graph Expansion
Solve multi-hop questions that plain vector RAG can't answer. Vectorize graph nodes with from_existing_graph in one line, auto-convert natural language to Cypher with CypherQAChain.
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Full AI Agent Stack on One PostgreSQL — LangGraph + langchain-age
Can you replace Neo4j+Redis+Pinecone with just PostgreSQL for an AI Agent? A real architecture that unifies graph, vectors, checkpoints, and long-term memory in one database.
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GraphRAG with Just PostgreSQL — No Neo4j Required
Build a production-ready Graph + Vector RAG pipeline using only PostgreSQL with Apache AGE and pgvector. One database, one connection string, zero licensing fees.
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Neo4j vs Apache AGE Benchmark — Same Cypher, Same Data, Different Results
A fair benchmark running identical Cypher queries on Neo4j 5 and Apache AGE 1.7.0. Eight tests covering point lookups, 1–6 hop traversals, CREATE operations, and schema introspection.