Evaluation and Tracking for LLM Experiments and AI Agents

🌟BuroTonic: Revolutionizing Sales and Marketing with AI-Driven Business Intelligence - An adaptive team of virtual agents for precise client and market strategies. 🚀

🔍 GemInsights: Unleash Gemini AI on your data! 🚀 Analyze dataframes for valuable insights, replacing traditional data analysis. 📊 A cutting-edge tool revolutionizes the way you analyze dataframes, offering a paradigm shift from conventional data analysis methods.

Unlock the sonic potential of your visual brand identity with BrandVision. Our innovative AI technology analyzes your logo and translates its essence into captivating auditory experiences. Dive deeper into your brand, understand its unique sonic personality, and create unforgettable connections with your audience.

This repository contains a series of Jupyter notebooks that compare the performance of three different Retrieval Augmented Generation (RAG) systems: baseline RAG, optimized RAG using hybrid search with contextual compression, and knowledge graph-based RAG.

This is a small Python module enabling you to use [TruLens](https://www.trulens.org/) for prompt engineering and LLM workflow development much easier.

FinPAL - Your Finance Ally

Sustainable Hydroponic domain-specific LLM developed to improve sustainable farming.

a small space adventure showcasing the capabilities of retrieval augmented generation (RAG)

dall-e-2-api-with-trulens

Create a Fin chatbot with Ollama , Llamaindex and TruLens

Evaluation for Cortex Agent with Cortex Analyst using Trulens

Code repository for Atrato Financial Hackathon

Termify is an AI chatbot that simplifies terms and privacy policies, making them easy to understand for everyone.

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Simple agent template built on top of Llamaindex, Trulens, and Streamlit.

Custom Trulens deployment and scripts

Trulens for Gemini

Learn how to use TruLens in Streamlit apps

Evaluate LLM and Advanced RAG techniques using Trulens

Evaluating and optimizing RAG Pipeline using RAGAS, Trulens and Advanced Retrieval Methods

Our project enhances Trulens analytics through two key initiatives: developing an interactive visual node for integration in Jupyter notebooks, and creating a comprehensive RAG framework for Trulens documentation. These efforts aim to simplify and enrich the user experience with Trulens, making advanced data analysis more accessible and intuitive.

An example of using trulens with LiteLLM for assessing quality of an LLM

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Visualize NLP results for human consumption

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This repository contains a collection of scripts demonstrating advanced Retrieval-Augmented Generation (RAG) techniques using LlamaIndex and OpenAI. Each lesson focuses on a specific aspect of modern RAG systems, providing hands-on examples and evaluation methods and evaluation capabilities using TruLens

QuantumFit Vertex API is a Node.js/TypeScript backend with Python microservices that implements TruLens-powered LLM prompt evaluations as regression tests for an AI-driven fitness application. The system integrates with Google's Gemini API to provide intelligent body fat analysis, exercise form validation, and personalized workout recommendations.

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"AdvanceRAG and Eval" enhances document retrieval by integrating the Llama_Index library for automated merging and indexing, combined with TruLens for performance evaluation, improving information access and retrieval efficiency in large document collections.