LlamaIndex vs Zep
Overview
🔥 Trending in Text & Language Models on StackShare
Detailed Comparison
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 an open-source memory store for LLM apps. Easily add relevant documents, chat history memory & rich user data to your LLM app's prompts. |
Offers data connectors to your existing data sources and data formats;
Storing context in an easy-to-access format for prompt insertion | Memory store for LLM applications;
Batteries included embedding & enrichment;
Fast, low-latency APIs and stateless deployments;
Python & TypeScript/JS SDKs, LlamaIndex & LangChain support |
Statistics | |
GitHub Stars - | GitHub Stars 3.7K |
GitHub Forks - | GitHub Forks 555 |
Stacks 54 | Stacks 1 |
Followers 33 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to LlamaIndex, Zep?
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Ollama
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LangSmith
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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.
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.
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
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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.
LLM
It is a Rust ecosystem of libraries for running inference on large language models, inspired by llama.cpp. On top of llm, there is a CLI application, llm-cli, which provides a convenient interface for running inference on supported models.
Flowise
It is an open-source, drag & drop UI to build your customized LLM flow. It is built on top of LangChainJS, with the aim to make it easy for people to visualize and build LLM apps.
