Conversational AI: From RAG Prototypes to Domain-Specific SupervisionNovember 4, 2024 Building a Tool Builder: Making AI Tools Configurable Without Code The first API had hardcoded tools. The Slack bot needed different tools. I built a tool system where admins create, configure, and monitor tools from a dashboard.
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October 28, 2024 Getting the Most Out of Cursor IDE After a year of daily use, here's what helps with AI-assisted development in complex projects. Context management, documentation, and knowing when to commit.
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Conversational AI: From RAG Prototypes to Domain-Specific SupervisionOctober 24, 2024 From Flat Vectors to Graph RAG: When Similarity Search Isn't Enough Vector search finds similar chunks. Graph RAG finds related concepts. The difference matters when questions span multiple topics.
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Conversational AI: From RAG Prototypes to Domain-Specific SupervisionOctober 15, 2024 Chunk-Then-Summarise: The Embedding Pipeline That Worked Raw PDF chunks make terrible vectors. Summarising each chunk before embedding produced cleaner searches and more relevant retrieval.
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Conversational AI: From RAG Prototypes to Domain-Specific SupervisionOctober 7, 2024 Pinecone to pgvector: Why I Ditched the Managed Vector DB Pinecone worked, but it was another service to manage, another bill, and another point of failure. pgvector kept vectors next to my relational data in the same Postgres instance.
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