---
title: "The ToolStack (@TheToolStack) | Hashnode"
description: "Everything Tech Based. Read the latest articles by The ToolStack on Hashnode."
url: "https://hashnode.com/@TheToolStack"
---

@TheToolStack

# The ToolStack

@TheToolStack · Joined February 2026

Everything Tech Based

### [LangChain vs LlamaIndex: Orchestration Framework Benchmarks at 10K Requests Per Hour](https://thetoolstack.hashnode.dev/langchain-vs-llamaindex-orchestration-framework-benchmarks-at-10k-requests-per-hour?utm_source=hashnode&utm_medium=feed)

The Problem (Production Context) You're building an enterprise RAG pipeline that processes 10,000 requests per hour — roughly 3 queries per second. Each request requires: query routing, retrieval from

7 min read · [thetoolstack.hashnode.dev](https://thetoolstack.hashnode.dev/langchain-vs-llamaindex-orchestration-framework-benchmarks-at-10k-requests-per-hour?utm_source=hashnode&utm_medium=feed)

[May 15](https://hashnode.com/posts/langchain-vs-llamaindex-orchestration-framework-benchmarks-at-10k-requests-per-hour/6a076ded73afc88757a36c2f)

### [Optimising OpenAI API Latency: Vector Caching + Streaming in Node.js to Reduce TTFT](https://thetoolstack.hashnode.dev/optimising-openai-api-latency-vector-caching-streaming-in-node-js-to-reduce-ttft?utm_source=hashnode&utm_medium=feed)

The Problem (Production Context) You've built an AI-powered code assistant for your engineering team. A developer types "Explain this function" — and then waits. And waits. The Time To First Token (TT

11 min read · [thetoolstack.hashnode.dev](https://thetoolstack.hashnode.dev/optimising-openai-api-latency-vector-caching-streaming-in-node-js-to-reduce-ttft?utm_source=hashnode&utm_medium=feed)

[May 15](https://hashnode.com/posts/optimising-openai-api-latency-vector-caching-streaming-in-node-js-to-reduce-ttft/6a0769dd73afc88757a1563e)

### [Building a Production RAG Pipeline: Chunking Strategies, Embedding Models, and Retrieval Quality Benchmark](https://thetoolstack.hashnode.dev/building-a-production-rag-pipeline-chunking-strategies-embedding-models-and-retrieval-quality-benchmark?utm_source=hashnode&utm_medium=feed)

Building a Production RAG Pipeline: Chunking Strategies, Embedding Models, and Retrieval Quality Benchmarks Meta: Published May 15, 2026 | Category: Engineering / RAG | Read Time: 12 minutes The Prob

11 min read · [thetoolstack.hashnode.dev](https://thetoolstack.hashnode.dev/building-a-production-rag-pipeline-chunking-strategies-embedding-models-and-retrieval-quality-benchmark?utm_source=hashnode&utm_medium=feed)

[May 15](https://hashnode.com/posts/building-a-production-rag-pipeline-chunking-strategies-embedding-models-and-retrieval-quality-benchmark/6a07406d73afc8875783d9e4)