Abhishek Gupta articles - 203 total
Build a RAG application with LangChain and Local LLMs powered by Ollama
Local large language models (LLMs) provide significant advantages for developers and organizations....
Integration testing for Go applications using Testcontainers and containerized databases
Integration testing has always presented a fundamental challenge: how do you test your application...
Building resilient Go applications: Simple tip for mocking and testing database error responses
When building applications that rely on databases (which is almost every application, right?), one of...
Scaling multi-tenant Go applications: Choosing the right database partitioning approach
Multi-tenant applications face a fundamental challenge: how to efficiently store and query data for...
A simple, convenience package for the Azure Cosmos DB Go SDK
When using the Go SDK for the Azure Cosmos DB NoSQL API, I often find myself writing boilerplate code...
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Building Event-Driven Go applications with Azure Cosmos DB and...
Build reliable Go applications: Configuring Azure Cosmos DB Go SDK for real-world scenarios
Introduction When building applications that interact with databases, developers...
Building Event-Driven Go applications with Azure Cosmos DB and Azure Functions
The Go programming language is a great fit for building serverless applications. Go applications can...
Vector embeddings made easy with Go, Azure Cosmos DB, and OpenAI
When working on applications that need vector/semantic/similarity search, it's often useful to have a...
Build a MCP server using Go to connect AI agents with databases
Like many of you, I have been playing around with Model Context Protocol (MCP). To dive in, I built a...
Implementing Chat History for AI Applications Using Azure Cosmos DB Go SDK
This blog post covers how to build a chat history implementation using Azure Cosmos DB for NoSQL Go...
Migrating data from DynamoDB to Azure Cosmos DB
Migrating stateful systems, such as databases, is a complex process. A frequent requirement for...
Use Azure Cosmos DB as a Docker container in CI/CD pipelines
There are lot of benefits to using Docker containers in CI/CD pipelines, especially for stateful...
Get started with Vector Search in Azure Cosmos DB
This is a guide for folks who are looking for a way to quickly and easily try out the Vector Search...
Using AI in your IDE to work with open-source code bases
Let's see how we can add enhancements to the langchaingo project with Amazon Q Developer support in...
Build generative AI applications in Go using Amazon Titan Text Premier model
Use Amazon Titan Text Premier model with the langchaingo package In this blog I will walk you...
Use Mistral AI to build generative AI applications with Go
Learn how to use Mistral AI on Amazon Bedrock with AWS SDK for Go Mistral AI offers models with...
Use Guardrails for safeguarding generative AI applications built using custom or third-party models
Learn how the ApplyGuardrail API can provide a flexible way to integrate Guardrails with your...
Use Guardrails to prevent hallucinations in generative AI applications
With Contextual grounding check, you can prevent hallucinations by detecting irrelevant and...
Maintain chat history in generative AI apps with Valkey
Integrate Valkey with LangChain A while back I wrote up a blog post on how to use Redis as a chat...
Use AWS Generative AI CDK constructs to speed up app development
Assemble and deploy the infrastructure for a RAG solution using AWS CDK for Python In this blog,...
Getting started with Valkey using JavaScript
Run existing Redis apps with Valkey and learn how to use it with LangChain Valkey is an open...
A single API for all your conversational generative AI applications
Use the Converse API in Amazon Bedrock to create generative AI applications using single API across...
How to add flexibility to your RAG applications by choosing the right configuration(s)
Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you implement the entire...
Simplify RAG application with MongoDB Atlas and Amazon Bedrock
By fetching data from the organization’s internal or proprietary sources, Retrieval Augmented...
Use Anthropic Claude 3 models to build generative AI applications with Go
Anthropic's Claude 3 is a family of AI models with different capabilities and cost for a variety of...
Deploy an AWS Lambda function using Amazon Q
No browser tabs were used to get this done (except when searching for funny pics for this...
Vector Databases for generative AI applications
How to overcome LLM limitations using Vector databases and RAG I first shared this blog from my...
How to use Retrieval Augmented Generation (RAG) for Go applications
Implement RAG (using LangChain and PostgreSQL) to improve the accuracy and relevance of LLM...
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[20 Days of DynamoDB] Day 20 - Converting between Go and DynamoDB types
Posted: 13/Feb/2024 The DynamoDB attributevalue in the AWS SDK for Go package can save you a lot of...