Blog Posts | Joshua Berkowitz

11 Articles

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LangChain: Building the Future of Context-Aware AI Applications

In October 2022, a team of engineers released LangChain , a Python framework designed to solve a fundamental challenge in the emerging world of Large Language Models. The question they tackled: how do...

Agent Framework AI Agents Framework LangChain LangGraph LangSmith LLM Machine Learning Open Source Python RAG

Oct 25, 2025

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Github Repos

EpMAN Reweights Attention With Episodic Memory To Tackle 256k-Token Contexts

Long-context reasoning is still a weak spot for many large language models, even as context windows grow. The ACL 2025 paper EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts ...

ACL 2025 attention episodic-memory LLM long-context RAG

Sep 17, 2025

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Papers

Context Engineering: How to Build High‑Signal AI Agents

Context Engineering: How to Build High‑Signal AI Agents Context is the new battleground for AI agents. While the focus had been on prompts and models, the real difference between demos and production ...

AI agents coding agents compaction context engineering MCP RAG subagents tool design

Sep 8, 2025

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News

PDF Data Extraction for Information Retrieval: OCR Pipelines vs. Vision Language Models

PDFs are everywhere, containing critical information in formats ranging from financial summaries to academic research. But unlocking actionable insights from these documents isn’t easy. The mix of tex...

Document processing Information retrieval NeMo Retriever OCR PDF extraction RAG Vision language models

Sep 5, 2025

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News

Why Dynamic Knowledge Is Essential for Smarter AI Agents

Relying on outdated information can lead anyone astray and AI agents are no different. In today’s rapidly changing tech landscape, static data leaves AI vulnerable to inaccuracy and irrelevance. To re...

agentic RAG AI agents dynamic knowledge enterprise AI generative AI NVIDIA tools query engines RAG

Sep 5, 2025

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News

DeepCode: An Open Agentic Coding System That Turns Papers Into Code

DeepCode from the Data Intelligence Lab at The University of Hong Kong (HKUDS) is an open agentic coding system that turns research papers and natural language requirements into working code. It aims ...

agents code-generation HKU MCP Paper2Code Python RAG research-reproduction Streamlit

Sep 3, 2025

0 12419

Github Repos

Gemini Embedding: Transforming Contextual Intelligence in AI Applications

AI is rapidly advancing, but its true value depends on how well it understands context. The Gemini Embedding model from Google is reshaping this landscape by delivering advanced context processing tha...

AI assistants AI embeddings context engineering Gemini multilingual AI RAG semantic search

Aug 24, 2025

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Gemini

Azure SQL Unlocks Native Vector Support for Advanced AI Applications

Native vector support in Azure SQL allows you to harness artificial intelligence within your trusted database environment with no extra infrastructure or complex integrations. This powerful update ena...

agentic workflows AI applications Azure SQL database innovation enterprise AI RAG semantic search vector search

Jul 15, 2025

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News

LangChain and Tensorlake Are Transforming Agent Workflows

With the integration of LangChain and Tensorlake, AI agents that don't get stumped by complex PDFs, messy scans, or handwritten forms may just be a click away. Developers can finally equip their intel...

AI agents document parsing LangChain legal tech RAG signature detection Tensorlake workflow automation

Jun 15, 2025

0 2442

News

Platform Showdown: Choosing the Right Automation and AI Development Solution

The landscape of automation and AI development is rapidly evolving. As organizations look to streamline operations and harness AI, selecting the right platform becomes a pivotal decision. Four leading...

ai agents automation low-code platform comparison RAG serverless visual development workflow

Jun 11, 2025

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News

Unlocking Accuracy in RAG: The Crucial Role of Sufficient Context

When it comes to reducing hallucinations and improving accuracy in large language models (LLMs), the focus is shifting from mere relevance to the concept of sufficient context . Rather than simply ret...

AI safety Google Research hallucinations LLMs RAG retrieval systems sufficient context

May 15, 2025

0 3652

News

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