How to Evaluate AI Legal Tools Before Buying Them
Legal AI vendors all promise accuracy. A practical evaluation framework for testing tools like Harvey on your own documents before you commit budget.
Category: Blog
How to Use Harvey AI for Legal Research and Contract Review
Harvey is an AI assistant built for law firms and in-house legal teams. Here is what it does well on research and contract review, and…
How to Choose a Data Labeling Provider for AI Training
Managed vendor or self-hosted tool? A practical framework for deciding how to source labeled data, with the cost, quality, and control trade-offs spelled out.
How to Use Scale AI for Data Labeling and Model Evaluation
Scale AI provides managed labeling, RLHF data, and model evaluation for teams that would rather buy data quality than build it. Here is how the…
How to Connect Label Studio to a Machine Learning Pipeline
Manual labeling does not scale. Use Label Studio's ML backend to pre-label with a model, then retrain on the corrected annotations in a loop.
How to Create an Image Labeling Project in Label Studio
Label Studio is a free, open-source tool for labeling images, text, and audio. Set up a project, define bounding boxes, and export annotations for training.
How to Version ML Datasets and Models With W&B Artifacts
Artifacts give your datasets and model weights a version history. Learn how to log, promote, and roll back models so any result can be reproduced.
How to Track Machine Learning Experiments With Weights & Biases
Stop guessing which hyperparameters gave you the best model. W&B logs every run, metric, and artifact so you can compare them side by side.
How to Connect Chroma to LangChain for Retrieval Augmented Generation
Wire a persistent Chroma store into a LangChain retrieval chain so your app answers questions from your own documents instead of the model's memory.
How to Use Chroma as a Local Vector Store for RAG
Chroma is the easiest vector store to start with: it runs in-process and saves to a folder. Here is how to persist it, query it,…
How to Build Hybrid Search With Weaviate and OpenAI Embeddings
Vector search misses exact product codes; keyword search misses paraphrases. Hybrid search in Weaviate does both. Here is how to rank, weight, and tune it.
How to Set Up a Weaviate Vector Database in 10 Minutes
Weaviate is an open-source vector database for semantic search. Here is how to run it locally with Docker, create a collection, and store your first…