Tag: langchain
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 attention. As a developer myself, I...
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 enables real-time, zero ETL JSON-native data...
Build Faster and Cheaper LLM Apps With Couchbase and LangChain
New Standard, Semantic and Conversational Cache With LangChain Integration In the rapidly evolving landscape of AI application development, integrating large language models (LLMs) with enterprise data sources has become a critical focus. The ability to harness the power of LLMs...
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 has many dimensions (attributes) associated with...
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 as a Vector database. The retrieval...
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 the first steps of a Retrieval...