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Building a Multi-Agent System for writing blogs using CrewAI

Aug 19, 202412 min read

Evaluating RAG with Ragas

Jun 18, 202413 min read

Building Travel Guides from YouTube using CrewAI Multi-Agent

Introduction In today’s digital age, planning a vacation often involves extensive online research. YouTube has a lot of travel videos that give you helpful information about popular places to visit. However, sorting through hours of content to find r...

Aug 25, 202413 min read

Building a Multi-Hop QA on Global Warming Using DSPy and Qdrant

May 28, 20249 min read

Building RAG in 2024 with Langchain, Groq, Llama3, and Qdrant

May 6, 202411 min read

Building a Rental Apartment Search with Langchain's Self-Querying Retriever

In this blog post, we delve into the capabilities of Langchain's self-querying retriever, a powerful tool for bridging the gap between natural language and structured data retrieval. This retriever leverages a query-constructing LLM chain to transfor...

Apr 20, 202413 min read

Syncing Qdrant with Postgres Using Airbyte to Build RAG Applications over SQL Data

Overview One of the major hurdles in building robust RAG applications is keeping the Vector Store consistently updated with the latest information. This is crucial because RAG models rely on this store to retrieve relevant context for generating accu...

Apr 16, 20248 min read

Guide to Building a QA RAG AI for Enterprises Using Spring AI, Qdrant, and Gemma-7B

In this tutorial, we will build a Question Answering RAG application in Spring AI. Spring AI simplifies building AI-powered applications. It leverages the familiar concepts of portability and modularity from the Spring ecosystem, making it easy to in...

Apr 10, 202413 min read

LLM fine-tuning with instruction prompts

If you have ever tried to use the Mistral model from Hugging Face you will be provided with multiple options. Two of the most downloaded options are: Mistral-7B-v0.1 Mistral-7B-Instruct-v0.2 But what is the difference between these 2 models? Mistral-...

Mar 21, 20244 min read

Daily Portfolio Summarizer with Langchain, Qdrant, and Mistral AI

Today's Investors are bombarded with news, reports, statistics, and more information. AI cuts through this noise, analyzes vast datasets to unearth hidden patterns and trends, and offers insights that human minds might miss. While AI brings immense p...

Feb 23, 202413 min read

Hands-on Guide to Building LLM Apps in Java with Langchain4j and Qdrant DB

In this blog, we will explore how to build a Retrieval Augmented Generation (RAG) chatbot in Java. To construct this application, we will utilize the LangChain4j Java library. The goal of LangChain4j is to simplify the integration of AI/LLM capabilit...

Feb 8, 202410 min read

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