VO3 character vectors Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Products AI Development AI Service 7/18/2025 VO3 documentation describes vectorizing character components into generation space to maintain character consistency scene to scene. Show more Underestimating vectorization benefits Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Stories Backend - 7/18/2025 Cameron initially thought his real estate data was too small for vectorization but found it outperformed prompt engineering when implemented. Show more Real estate assistant with vectors Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Business Ideas - - 7/18/2025 Create a real estate property assistant by vectorizing property-specific fields for fast contextual retrieval and improved response accuracy. Show more Lightweight customer service chatbot Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Business Ideas Database - 7/18/2025 Build a customer service chatbot that uses a small knowledge base with selective vectorization for simple Q&A without a full database or vector store. Show more Local LLMs have niche use Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Opinions AI Development - 7/18/2025 Smaller local language models can excel at targeted tasks like metadata extraction or summaries without heavy infrastructure. Show more Vector storage not mandatory Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Opinions - - 7/18/2025 You don’t need to vectorize and store every piece of data globally; apply vectorization selectively based on actual use cases. Show more Local model metadata extraction Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Frameworks AI Development - 7/18/2025 Use smaller local models to extract key metadata or summaries from documents to handle tasks without requiring large-scale vector storage. Show more Domain-specific vectorization Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Frameworks AI Development - 7/18/2025 Vectorize and store embeddings only for narrow domain data sets (e.g., per-property JSON with 500 fields) to achieve better performance than prompt engineering. Show more Vector Store Options Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Products Database Database 7/18/2025 Compare hosted services like Pinecone with built-in vector support in Supabase PG to decide whether you need a dedicated managed vector store or can leverage existing SQL infrastructure. Show more Neo4J Graph Database Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Products AI Development AI Service 7/18/2025 Neo4J is the leading graph database for modeling LLM memory, social graphs, and big-data relationship queries to support fast contextual retrieval. Show more Fraud Detection with Graph Memory Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Business Ideas AI Development - 7/18/2025 Leverage a graph-based memory layer in LLM systems to uncover hidden relationships and patterns for fraud detection across random user interactions. Show more Weigh Vector Store Tradeoffs Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Opinions Database - 7/18/2025 Assess your data volume and latency requirements before choosing a dedicated vector store versus using integrated solutions like Supabase PG vector to balance performance benefits and operational overhead. Show more Two-Stage Retrieval Pipeline Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Frameworks AI Development - 7/18/2025 Implement a two-step RAG pipeline by first running an embeddings-based similarity search to get a pointer, then executing a SQL or graph query to fetch the full detailed dataset. Show more Graph-Based Memory Retrieval Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Frameworks AI Development - 7/18/2025 Use a graph database like Neo4J to represent LLM memory and accelerate retrieval of contextual or social relationship data for tasks such as user preference lookup or fraud detection. Show more Enterprise RAG Efficiency Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Business Ideas Database - 7/18/2025 Build an enterprise-focused RAG platform to automate data cleaning, semantic retrieval, and relational querying to unlock organizational knowledge and improve decision-making efficiency. Show more RAG Beyond Embeddings Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Opinions Database - 7/18/2025 RAG is not limited to vector embeddings; it also encompasses SQL-based and graph-based retrieval methods for richer data access. Show more GPU Experimentation Misstep Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Stories Frontend - 7/18/2025 Tom purchased an Nvidia GPU and installed ChatRTX but found it unsuitable for his use case, leading him to custom-code his own RAG tooling. Show more LangChain Tutorials Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Products AI Development AI Service 7/18/2025 Greg Camratt’s ‘Needle in a Haystack’ LangChain tutorials provide foundational documentation and code examples for building retrieval-augmented generation pipelines. Show more Nvidia ChatRTX Desktop Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Products Backend Development 7/18/2025 Nvidia's ChatRTX desktop application enables on-premises RAG experimentation with GPU acceleration for embedding and retrieval tasks. Show more Vector vs Graph RAG Ep 8 - Kimi2, Is RAG still a thing? and the coming SaaS bloodbath. Frameworks Devops - 7/18/2025 Combine vector-based semantic clustering with graph-based relationships to leverage cosine similarity and entity connections in your augmented generation pipeline. Show more 