langchain - CybAI news

03 Sep

Build generative AI applications in Go using Amazon Titan Text Premier model

stp2y0 CommentsNewscoding, community, development, engineering, GenAI, go, inclusive, langchain, programming, software

Use Amazon Titan Text Premier model with the langchaingo package In this blog I will walk you through how to use the Amazon Titan Text Premier model in your Go applications with langchaingo which is a Go port of langchain (originally written for Python and JS/TS). Amazon Titan Text Premier is an advanced LLM within the Amazon Titan Text family. It is useful for a wide range of tasks including RAG, agents, chat, chain of thought, open-ended text generation, brainstorming, summarization, code generation, table creation, data formatting, paraphrasing, rewriting, extraction, and Q&A. Titan Text Premier is also optimized for integration…

21 Aug

Langchain Chat Assistant using Chainlit App

stp2y0 CommentsNewschainlit, coding, community, development, engineering, inclusive, langchain, ollama, openai, software

Hey there! If you're excited about building your own AI assistant using Langchain and Chainlit, you're in the right place. In this post, I'll walk you through the steps to set up a simple yet powerful AI assistant. Let’s dive in! Demo Steps to Configure Follow these steps to configure the app on your machine! 1. Clone Git Repo git clone https://github.com/jivaniyash/langchain-chat-assistant.git cd ./langchain-chat-assistant Enter fullscreen mode Exit fullscreen mode 2. Create & Activate Virtual Env sudo apt install python3.11-venv python3 -m venv .venv source ./.venv/bin/activate python3 -m pip install --upgrade pip Enter fullscreen mode Exit fullscreen mode 3. Install…

07 Aug

Milvus Adventures August 7, 2024

stp2y0 CommentsNewscoding, community, development, engineering, GenAI, inclusive, langchain, opensource, software, vectordatabase

COMMUNITY I can't believe that we just had another full house at the Unstructured Data meetup in San Francisco, with our lovely hosts, Github! Palo Alto and NYC are next week so there is plenty of time to register and join us in person. Or, if you would like to give a talk, let us know! Unstructured Data SF Meetup video Unstructured Data Palo Alto Meetup register Unstructured Data NYCMeetup register Learn About Gen AI Explore the cutting edge of Generative AI (GenAI) and its impact on software development. From code generation to automated testing, GenAI is transforming how we…

30 Jul

LangGraph.js Concept Guide

stp2y0 CommentsNewschatgpt, coding, community, development, engineering, inclusive, langchain, LLM, openai, software

Welcome to LangGraph.js, a JavaScript library designed for building complex, scalable AI agents using a graph-based state machine. In this guide, we will explore the core concepts behind LangGraph.js and why it excels in creating reliable and fault-tolerant agent systems. We assume you have already learned the basics introduced in the Quick Start guide and want to dive deeper into the fundamental design and internal workings of LangGraph.js. Background: Agents as Graphs and AI Workflows While definitions of "AI agents" vary, we define an "agent" as any system that allows a language model to control looped workflows and take actions.…

10 Jun

Generating replies using Langchain multiple chains and Gemini in NestJS

stp2y0 CommentsNewscoding, community, development, engineering, generativeai, inclusive, langchain, nestjs, software, tutorial

Introduction In this blog post, I demonstrated how to generate replies with multiple Langchain chains. Buyers can provide ratings and comments on sales transactions in auction sites such as eBay. When the feedback is negative, the seller must reply promptly to resolve the dispute. This demo aims to generate responses in the same language of the buyer according to the the tone (positive, neutral or negative) and topics. Previous chains obtain answers from the Gemini model and become the next chain's output. Similarly, the model receives the new prompt to generate the final reply to keep customers happy. Generate Gemini…