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  • Do we really need a specialized vector database?

    In Engineering 2624 words 13 min

    ai

    With the popularity of LLM (Large Language Model), vector databases have also become a hot topic. With just a few lines of simple Python code, a vector database can act as a cheap but highly effective “external brain” for your LLM. But do we really …

    With the popularity of LLM (Large Language Model), vector databases have also become a hot topic. With just a few lines of simple Python code, a vector database can act as a cheap but highly effective “external brain” for your LLM. But do we really …

  • Building the RAG pipeline with LlamaIndex and pgvecto.rs

    In Engineering 289 words 2 min

    ai

    LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models (LLMs). pgvecto.rs provides a LlamaIndex integration that allows you to retrieve the most similar vectors. In this blog post, we will show you …

    LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models (LLMs). pgvecto.rs provides a LlamaIndex integration that allows you to retrieve the most similar vectors. In this blog post, we will show you …

  • Building LLM Applications in LangChain using pgvecto.rs

    In Engineering 717 words 4 min

    ai

    LangChain is a framework for developing applications powered by language models. It enables applications that: Are context-aware: connect a language model to sources of context (prompt instructions, few shot examples, content to ground its response …

    LangChain is a framework for developing applications powered by language models. It enables applications that: Are context-aware: connect a language model to sources of context (prompt instructions, few shot examples, content to ground its response …