12 tools found
Test Qdrant embedding search with a small, local dataset for fast validation and iteration.
Abstracts Python functions into callable tools for OpenAI chat models, automating schema generation and enabling LLM function execution.
Automate the validation, analysis, and cost estimation of chat datasets for fine-tuning LLMs, ensuring data quality and readiness for training.
Create high-quality synthetic data using LLMs, overcoming privacy concerns and data sparsity for enhanced model training and application development.
Enable Azure OpenAI chat models to answer questions based on your private data, leveraging Azure Cognitive Search for grounded, accurate responses.
Example prompt chain demonstrating how to use Azure OpenAI for code generation and completions, including setup and deployment instructions.
Fine-tune OpenAI models with Qdrant and few-shot learning to build more accurate and less hallucinatory Retrieval Augmented Generation (RAG) systems.
Streamline financial document analysis by indexing and querying 10-K reports with LlamaIndex for rapid insight generation and comparison.
Use Redis as a vector database to provide external context to AI chat models, overcoming knowledge cutoffs and improving response quality.
Bundle RAGatouille for efficient document indexing and retrieval within LlamaIndex, enabling advanced RAG pipelines for question answering.
Ingest and query scholarly articles from Semantic Scholar, with optional PDF text extraction, to build a research knowledge base.
Ask questions about PDF content and get AI-powered answers. Indexes PDFs and leverages OpenAI models for intelligent responses.
