Etiqueta: langchain
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Integre la inferencia rápida de LLM de Groq con la búsqueda vectorial de Couchbase
Con tantos LLM que están saliendo, muchas empresas se están enfocando en mejorar las velocidades de inferencia para los modelos de lenguaje grandes con hardware especializado y optimizaciones para poder escalar las capacidades de inferencia...
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From Concept to Code: LLM + RAG with Couchbase
GenAI technologies are definitely a trending item in 2023 and 2024, and because I work for Tikal, which publishes its own annual technology radar and trends report, LLM and genAI did not escape my…
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New Couchbase Capella Advancements Fuel Development
Today we are pleased to announce three major advancements for Capella, the cloud database platform for modern applications, including GenAI, vector search, and mobile application services. First, the general availability of Capella Columnar, which…
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Cree aplicaciones de LLM más rápidas y económicas con Couchbase y LangChain
Nuevo caché estándar, semántico y conversacional con integración de LangChain En el panorama de rápido desarrollo de las aplicaciones de IA, la integración de modelos de lenguaje grandes (LLM) con fuentes de datos empresariales se ha convertido en un enfoque crítico. La capacidad…
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Get Started With Couchbase Vector Search In 5 Minutes
What is a Vector A Vector is an object that represents a real-world item as an array of floating numbers. Each item in the real world is represented in Vector format(as an array) and…
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Accelerate Couchbase-Powered RAG AI Application With NVIDIA NIM/NeMo and LangChain
Today, we’re excited to announce our new integration with NVIDIA NIM/NeMo. In this blog post, we present a solution concept of an interactive chatbot based on a Retrieval Augmented Generation (RAG) architecture with Couchbase Capella…
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Twitter Thread tl;dr With AI? Part 2
In part 1 we saw how to scrape Twitter, turn tweets in JSON documents, get an embedding representation of that tweet, store everything in Couchbase and how to run a vector search. These are…