Embedbase

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embedbase is an open-source API that simplifies building LLM-powered applications. It provides a dead-simple API for using VectorDBs and LLMs without needing to host them, offering features like text generation and semantic search.

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At a glance

Pricing

Open Source · Freemium

Free tier

Yes

API

Yes

Skill level

Technical

About

What is embedbase?

embedbase is an open-source API designed to streamline the development of LLM-powered applications by abstracting away the complexities of VectorDBs and LLMs. It allows users to generate text using over nine different LLMs and implement semantic search capabilities. Developers can easily add semantically searchable information and run queries, making it ideal for creating features like recommendation engines, chat with data applications, and smart contract integrations. The platform offers a hosted version and an SDK, simplifying installation and integration into existing projects. It supports various use cases, from finding related notes to powering ChatGPT-like search for documentation.

Best used for

Ideal for developers who need to quickly integrate LLMs and VectorDBs into their applications, implement semantic search, and generate text. Especially valuable for startup founders looking to build AI-powered features like recommendation engines or chat with data functionalities without the overhead of managing complex infrastructure.

Common actions

build LLM apps

implement semantic search

generate text

manage vector databases

"AI Agents"github copilotface swappingdeepfakelow-code/no-codeworkflowsopen-sourceautomated workflowcollaboration

Capabilities

Key features

Generate text with LLMs
Semantic search
Add searchable information
Hosted embeddings-as-a-service
Javascript SDK

Target Audience

developerstartup founder

Integrations

supabase

Pricing & Plans

Open Source · Freemium

Free

FAQs

What kind of LLMs can I use with embedbase?

embedbase allows you to use over 9 different Large Language Models for text generation. This provides flexibility in choosing the right model for your specific application needs, without requiring you to manage the LLM integrations directly.

Can I use embedbase for semantic search with my own data?

Yes, embedbase is designed to help you create lists of semantically searchable information from your own data. You can use the `.add()` function to ingest your data and then `.search()` to run semantic queries against it, making your data easily discoverable.

Is there a hosted version of embedbase available?

Yes, embedbase offers a hosted embeddings-as-a-service. You can sign up for free to Embedbase Cloud to get started quickly without needing to self-host the API or manage the underlying infrastructure.

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