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It is a framework to easily create LLM powered bots over any dataset. It abstracts the entire process of loading a dataset, chunking it, creating embeddings, and then storing it in a vector database. | Anomaly AI is a data analytics tool designed to handle large data sets. The platform is engineered with AI capabilities to automate the analysis of data and provide insightful, actionable outcomes. Via its comprehensive interface, users can create interactive and easily shareable dashboards. Anomaly AI supports various data upload formats including spreadsheets like Excel and CSV, and also connects with different databases like BigQuery and GA4. The platform is built to deal with significant data volumes, ensuring enterprise-grade security and intelligent data type detection. It optimizes data handling by scanning for quality issues, inconsistencies and anomalies in the data, facilitating the removal of duplicates, standardizing date formats and normalizing text fields among other operations. Transforming raw data into understandable insights is further enhanced by the platform's ability to discover patterns, calculate key performance indicators, identify trends and correlations, and generate statistical summaries. The resultant outputs can be visualized through the use of interactive dashboards, fostering real-time collaboration with teams. This tool can be useful across various departments in an organization including sales, marketing, finance, accounting, product management, human resources and more, delivering metrics that drive decision making. In addition to its data handling and insight generation capabilities, Anomaly AI offers support and assistance for setup and usage of the platform. |
Create LLM powered bots over any dataset;
Simplifies the process of loading, chunking, and storing datasets;
Querying functionality | All Connectors, BigQuery Analysis, Excel Analysis, GA4 Analysis, Snowflake Analysis |
Statistics | |
Stacks 2 | Stacks 0 |
Followers 3 | Followers 1 |
Votes 0 | Votes 1 |
Integrations | |
| No integrations available | |

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

It allows you to run open-source large language models, such as Llama 2, locally.

It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.

It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.

It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.

It is a new scripting language to automate your interaction with a Large Language Model (LLM), namely OpenAI. The ultimate goal is to create a natural language programming experience. The syntax of GPTScript is largely natural language, making it very easy to learn and use.

It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.

Build, train, and deploy state of the art models powered by the reference open source in machine learning.

It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.