CSV, Excel and Google Sheets in Famulor Knowledge Bases
Use CSV, TSV, XLSX and Google Sheets as structured Famulor knowledge sources—with setup steps, table queries, limits and a practical example.
Famulor Blog9 min read
retrieval augmented generation
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How to Build a Self-Evaluating AI System: Automated Testing and Evaluation Pipelines for LLM Applications
So you shipped your AI feature and it works in demos. Your team is impressed. Then a user asks a question slightly outside your test cases and the model confidently returns something completely wrong.
freeCodeCamp — Artificial Intelligence28 min read
Reflection Pattern: AI Agents Self-Correct in Production
Reflection pattern for LLMs: a self-critique loop that improves correctness, clarity, and reliability with measurable quality gates, ROI, and safety controls
n8n Blog6 min readAI Agent Engineer, Client Facing at Observe AI ($120k-$160k)
AI Agent Engineer, Client Facing — Canada · full-time · On-site · $120k-$160k
AI Dev Jobs Blog3 min read
5 PROJECTS That Will Actually Get You HIRED In 2026.
Learn how to build an AI portfolio that actually gets you hired as a Forward-Deployed Engineer (FDE). In this video, I walk through five production-grade projects from permission-aware knowledge systems to automated document approval that prove you can handle messy enterprise workflows, not just…
Aishwarya Srinivasan
Build a Complete AI SaaS Application with Lovable
You can visit Lovable here:-https://lovable.link/hXzIz24 🚀 Build a Complete AI SaaS Application with Lovable What does it take to turn an idea into a real, working SaaS product?
Krish Naik
Full-Text Search is Now Generally Available In Pinecone Database
Pinecone Full-Text Search is generally available: BM25 keyword ranking and Lucene query syntax in the same index and schema as your dense vectors.
Pinecone6 min readHow to cache LLM API calls in Node.js 2026: Redis and break-even math
Redis exact-match caching cuts LLM API spend at scale. Working Node.js middleware, 30-minute TTL trade-off, and when semantic search is worth the overhead.
LLMTest Blog5 min read
RAG with Llama 3.1
Simple RAG example on the Oscars using Llama 3.1 open models and the Haystack LLM framework. Installation ! pip install transformers-haystack sentence-transformers-haystack bitsandbytes Authorization you need an Hugging Face account you need to accept Meta conditions here:…
Haystack by deepset7 min readHaystack RAG Pipeline with Self-Deployed AI models using NVIDIA NIMs
In this notebook, we will build a Haystack Retrieval Augmented Generation (RAG) Pipeline using self-hosted AI models with NVIDIA Inference Microservices or NIMs. The notebook is associated with a technical blog demonstrating the steps to deploy NVIDIA NIMs with Haystack into production.
Haystack by deepset6 min readRAG Evaluation with Prometheus 2
Evaluating the responses of Language Models and LLM-based applications often involves using model-based metrics that do not require ground truth labels.
Haystack by deepset28 min readQuestion Answering with Amazon Sagemaker, Chroma and Haystack
Notebook by Sara Zanzottera and Bilge Yucel Amazon Sagemaker is a comprehensive, fully managed machine learning service that allows data scientists and developers to build, train, and deploy ML models efficiently.
Haystack by deepset4 min readPDF-Based Question Answering with Amazon Bedrock and Haystack
Notebook by Bilge Yucel Amazon Bedrock is a fully managed service that provides high-performing foundation models from leading AI startups and Amazon through a single API. You can choose from various foundation models to find the one best suited for your use case.
Haystack by deepset5 min readAdvanced RAG: Automated Structured Metadata Enrichment
by Tuana Celik ( LI, Twitter) This is part one of the Advanced Use Cases series: 1️⃣ Extract Metadata from Queries to Improve Retrieval cookbook & full article 2️⃣ Query Expansion cookbook & full article 3️⃣ Query Decomposition cookbook & the full article 4️⃣ Automated Metadata Enrichment In this…
Haystack by deepset7 min readAdvanced RAG: Query Decomposition and Reasoning
by Tuana Celik ( LI, Twitter) This is part one of the Advanced Use Cases series: 1️⃣ Extract Metadata from Queries to Improve Retrieval cookbook & full article 2️⃣ Query Expansion cookbook & full article 3️⃣ Query Decomposition & the full article 4️⃣ Automated Metadata Enrichment Query…
Haystack by deepset8 min readCohere v3 for Multilingual QA
Notebook by Bilge Yucel Multilingual Generative QA Using Cohere and Haystack In this notebook, we’ll delve into the details of multilingual retrieval and multilingual generation, and demonstrate how to build a Retrieval Augmented Generation (RAG) pipeline to generate answers from multilingual hotel…
Haystack by deepset9 min readPrompt Optimization with DSPy
When building applications with LLMs, writing effective prompts is a long process of trial and error. Often, if you switch models, you also have to change the prompt. What if you could automate this process?
Haystack by deepset59 min read
10 LLM Projects to Build in 2026 That Get You Noticed by AI Teams
There are plenty of LLM projects you can build in 2026, and they can take you into very different areas of the technology. You could work with retrieval and documents, build an agent that uses tools, create a coding assistant, or focus on evaluating how well a model performs a particular task.
AI and Machine Learning Roadmaps Blog29 min read
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