Embedstore

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Embedstore is an AI Agents & Automation tool that helps developers create AI apps on their own data. It supports both open-source and paid LLMs and embedding models for flexible deployment.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Embedstore?

Embedstore, powered by Embedchain, is an open-source framework designed to simplify the creation of intelligent AI bots and LLM-powered applications. It provides an accessible platform for developers to quickly build and deploy conversational AI solutions using their own data. The tool supports integration with various large language models (LLMs) and embedding models, including both free-to-use open-source options like Mistral and Sentence Transformers, and paid models such as GPT-4 and Claude. This flexibility allows users to choose between local execution for open-source models or API-based access for paid services. Embedstore streamlines the process of adding data sources and querying information, making it ideal for developing custom AI applications.

Best used for

Ideal for developers who need to quickly build AI applications, integrate various large language models, and query custom data. Especially valuable for creating chatbots, question-answering systems, and semantic search applications using either open-source or paid models.

Common actions

build AI apps

integrate LLMs

query custom data

create chatbots

AI botAI developmentchatbot builderproductivityLLM frameworkmachine learningopen-sourcevirtual assistant

Capabilities

Key features

Supports open-source LLMs
Supports paid LLMs
Integrates embedding models
Adds data from URLs
Queries custom data

Target Audience

developerstartup founder

Integrations

huggingfaceopenai

Pricing & Plans

Open Source

FAQs

What types of LLMs and embedding models does Embedstore support?

Embedstore supports both open-source LLMs like Mistral and Llama, and paid LLMs such as GPT-4 and Claude. For embedding models, it integrates with open-source options like Sentence Transformers and also supports paid providers like OpenAI.

Do I need a Hugging Face token to use open-source models with Embedstore?

Yes, if you plan to use open-source models hosted on Hugging Face, such as Mistral, you will need a Hugging Face access token. This token is free to create and allows Embedstore to access the models.

Can I use Embedstore to build AI applications on my own private data?

Absolutely. Embedstore is designed to help you create AI applications using your own data. You can add various data sources, such as URLs, and then query that data using the integrated LLMs and embedding models.

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