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  1. Stackups
  2. AI
  3. Text & Language Models
  4. Llm Tools
  5. LLMonitor vs Neum AI

LLMonitor vs Neum AI

OverviewComparisonAlternatives

Overview

LLMonitor
LLMonitor
Stacks4
Followers2
Votes0
Neum AI
Neum AI
Stacks0
Followers0
Votes0
GitHub Stars864
Forks50

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Detailed Comparison

LLMonitor
LLMonitor
Neum AI
Neum AI

It is an open-source monitoring & observability for AI apps and agents. It is designed to be usable with any model, not just OpenAI. It is easy to integrate and simple to self-host.

It is an open-source RAG framework optimized for large-scale and real-time data. Use Neum AI to bring up-to-date context into your AI applications.

Cost, token & latency analytics; Track users; Traces to debug easily; Label and export fine-tuning datasets; Collect feedback from users
High throughput distributed architecture; Built-in data connectors; Real-time synchronization; Customizable data pre-processing; Cohesive data management
Statistics
GitHub Stars
-
GitHub Stars
864
GitHub Forks
-
GitHub Forks
50
Stacks
4
Stacks
0
Followers
2
Followers
0
Votes
0
Votes
0
Integrations
LangChain
LangChain
JavaScript
JavaScript
Python
Python
React
React
Qdrant
Qdrant
Pinecone
Pinecone
Azure Blob Storage
Azure Blob Storage
Amazon S3
Amazon S3
PostgreSQL
PostgreSQL
Microsoft SharePoint
Microsoft SharePoint
Weaviate
Weaviate
Supabase
Supabase
OpenAI
OpenAI

What are some alternatives to LLMonitor, Neum AI?

Clever AI Humanizer

Clever AI Humanizer

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

LangChain

LangChain

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.

Ollama

Ollama

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

LlamaIndex

LlamaIndex

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.

LangGraph

LangGraph

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.

LangSmith

LangSmith

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.

GPTScript

GPTScript

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.

Vercel AI SDK

Vercel AI SDK

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.

Hugging Face

Hugging Face

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

Chroma

Chroma

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

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