How to Optimize Token Usage with Haystack (Step by Step)
How to Optimize Token Usage with Haystack We’re building a powerful application using Haystack to optimize token usage. This matters […]
AI Security
AutoGen Pricing in 2026: The Costs Nobody Mentions
Your Verdict After 6 months of working with AutoGen in a medium-sized project: it’s useful for drafts but a hassle
How to Set Up Monitoring with AutoGen (Step by Step)
Setting Up Monitoring with AutoGen We’re going to set up monitoring with AutoGen, a library that’s not just another tool
Best FAISS Alternatives in 2026 (Tested)
FAISS Alternatives: An Honest Review for 2026 After a year of digging into FAISS alternatives: some are solid, others are
How to Implement Webhooks with Groq (Step by Step)
How to Implement Webhooks with Groq We’re building a system to handle real-time notifications from a web application using Groq’s
Error Handling in Agents: A Developer’s Honest Guide
Error Handling in Agents: A Developer’s Honest Guide I’ve seen three production agent deployments fail this month. All three made
Embedding Model Selection: A Developer’s Honest Guide
Embedding Model Selection: A Developer’s Honest Guide I’ve seen 3 production agent deployments fail this month. All 3 made the
Model Selection: A Developer’s Honest Guide
Model Selection: A Developer’s Honest Guide
I’ve seen 3 production machine learning model deployments fail this month. All 3 made the same 5 mistakes. If you’re in the data science field, the model selection guide can be your lifeline. Choosing the right model isn’t just about following trends; it’s about delivering accurate predictions and ensuring
Firebase vs Neon: Which One for Side Projects
Firebase vs Neon: Choosing the Right Tool for Your Next Side Project
Firebase has 162,310 GitHub stars. Neon has 17,506. But stars won’t build your app for you. It’s all about what each platform can really do in practical terms. When looking at Firebase vs Neon, it’s paramount to assess which tool aligns with your
Ollama vs vLLM vs TGI: Inference Showdown
Ollama vs vLLM vs TGI: The Inference Showdown
Ollama boasts 165,940 stars on GitHub while vLLM has 74,064, clearly indicating a significant interest in the former. But let’s get real — the number of stars doesn’t translate directly into usability or features. In this post, I’m going to unpack the intricacies of Ollama, vLLM, and