Kamal Dhungana – Medium

Kamal Dhungana

Kamal Dhungana

Reflection Agent in LangChain to Enhance Math Problem Accuracy

A reflection agent is an AI system that enhances its performance by evaluating and critiquing its past actions, often incorporating…

Jun 7

Reflection Agent in LangChain to Enhance Math Problem Accuracy

Jun 7

Kamal Dhungana

Different LangChain Tools for Solving Math Problems

Why We Can’t Use LLMs for Solving Math Problems?

May 31

Different LangChain Tools for Solving Math Problems

May 31

Kamal Dhungana

Different Methods for Creating Customized Tools Using the LangChain Framework

Why are tools essential?

May 20

Different Methods for Creating Customized Tools Using the LangChain Framework

May 20

Kamal Dhungana

Agent Supervisor in Multi-Agent Workflow in LangGraph

Introduction: The Agent Supervisor in LangGraph serves as a central controller within multi-agent workflows, orchestrating the…

Apr 14

Agent Supervisor in Multi-Agent Workflow in LangGraph

Apr 14

Kamal Dhungana

LangGraph: Multi-Agent Collaboration Explained

Multi-Agent Workflows: The core concept of LangGraph involves defining multi-agent workflows where nodes within the graph serve as…

Apr 7

LangGraph: Multi-Agent Collaboration Explained

Apr 7

Kamal Dhungana
in
GoPenAI

RAG Application with Neo4j-Constructed Knowledge Graphs and Vector Index

Very recently I came across this article which serves as a comprehensive guide for building GenAI applications using Neo4j, detailing the…

Mar 26

RAG Application with Neo4j-Constructed Knowledge Graphs and Vector Index

Mar 26

Kamal Dhungana
in
GoPenAI

LangGraph: Conditional Edge and Loop Explained

LangGraph is an important library for enhancing the development of large language model (LLM) applications, part of the LangChain…

Mar 21

LangGraph: Conditional Edge and Loop Explained

Mar 21

Kamal Dhungana

RAG Application Using Neo4j Vector Index and LangChain

Neo4j has advanced its support for Retrieval-Augmented Generation (RAG) applications by integrating native vector search capabilities…

Mar 19

RAG Application Using Neo4j Vector Index and LangChain

Mar 19

Kamal Dhungana

Text to Knowledge Graph Transformation: A Neo4j and LangChain Guide

Knowledge graph databases are critical as they allow for the structuring and querying of data in an interconnected, intuitive manner that…

Mar 16

Text to Knowledge Graph Transformation: A Neo4j and LangChain Guide

Mar 16

Kamal Dhungana
in
Artificial Intelligence in Plain English

The Role of Hybrid Search in RAG Applications

Exploring hybrid search in RAG applications, blending vector and keyword methods, and implementing the BM25 algorithm for lexical matching

Mar 10

The Role of Hybrid Search in RAG Applications

Mar 10

Kamal Dhungana

Kamal Dhungana

Data scientist with a passion for AI, Regularly blogging about LLM and OpenAI's innovations,Sharing insights for AI community growth

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