Chroma vs Pg_vectorize
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs. | It is a Postgres extension that automates the transformation and orchestration of text to embeddings and provides hooks into the most popular LLMs. This allows you to do vector search and build LLM applications on existing data with as little as two function calls. |
Fully-typed, fully-tested, fully-documented;
Dev, Test, Prod: the same API that runs in your Python notebook, scales to your cluster;
Feature-rich;
Free & open source | Workflows for both vector search and RAG;
Integrations with OpenAI's embeddings;
Automated creation of Postgres triggers to keep your embeddings up to date |
Statistics | |
GitHub Stars 24.2K | GitHub Stars - |
GitHub Forks 1.9K | GitHub Forks - |
Stacks 52 | Stacks 0 |
Followers 15 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Chroma, Pg_vectorize?
Milvus
Milvus is an open source vector database. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.
Clever AI Humanizer
That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology
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
It allows you to run open-source large language models, such as Llama 2, locally.
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
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
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
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
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
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
