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

AnythingLLM vs Neum AI

OverviewComparisonAlternatives

Overview

AnythingLLM
AnythingLLM
Stacks10
Followers14
Votes0
GitHub Stars50.7K
Forks5.3K
Neum AI
Neum AI
Stacks0
Followers0
Votes0
GitHub Stars864
Forks50

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Detailed Comparison

AnythingLLM
AnythingLLM
Neum AI
Neum AI

It is a full-stack application and tool suite that enables you to turn any document, resource, or piece of content into a piece of data that any LLM can use as reference during chatting. This application runs with very minimal overhead as by default the LLM and vectorDB are hosted remotely, but can be swapped for local instances.

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.

Atomically manage documents to be used in long-term-memory from a simple UI; Each chat response contains a citation that is linked to the original content; Simple technology stack for fast iteration; Fully capable of being hosted remotely
High throughput distributed architecture; Built-in data connectors; Real-time synchronization; Customizable data pre-processing; Cohesive data management
Statistics
GitHub Stars
50.7K
GitHub Stars
864
GitHub Forks
5.3K
GitHub Forks
50
Stacks
10
Stacks
0
Followers
14
Followers
0
Votes
0
Votes
0
Integrations
Docker
Docker
Pinecone
Pinecone
Node.js
Node.js
Python
Python
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 AnythingLLM, 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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