Semantic-Search-Nextjs-Pinecone-Langchain-Chatgpt

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semantic-search-nextjs-pinecone-langchain-chatgpt is an open-source starter project for building semantic search applications. It embeds text files into vectors, stores them on Pinecone, and enables semantic search using GPT3 and Langchain in a Next.js UI.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is semantic-search-nextjs-pinecone-langchain-chatgpt?

semantic-search-nextjs-pinecone-langchain-chatgpt is a foundational starter project designed for developers looking to build semantic search applications. This open-source tool facilitates the process of embedding text files into vectors, storing these vectors in a Pinecone database, and then performing semantic searches using GPT3 and Langchain, all within a Next.js user interface. It aims to simplify the integration of these powerful AI and database technologies, providing a cohesive starting point for projects that require advanced natural language understanding and contextual search capabilities. The project is particularly useful for those who understand individual components but need guidance on piecing them together into a functional application.

Best used for

Ideal for developers who need to quickly prototype or build semantic search applications, integrate AI-powered search into their projects, and leverage vector databases like Pinecone. Especially valuable for those looking for a full-stack starter that combines Next.js, Langchain, and GPT3 for contextual understanding.

Common actions

build semantic search

integrate AI search

manage vector embeddings

develop Next.js apps

face swappinggithub copilot"AI Agents"automated workflowdeepfakeworkflowslow-code/no-codeopen-sourcecollaboration

Capabilities

Key features

Embeds text files into vectors
Stores vectors on Pinecone
Semantic search with GPT3
Langchain integration
Next.js UI

Target Audience

developerengineerresearcher

Integrations

openaipineconelangchain

Pricing & Plans

Open Source

Free

FAQs

What are the prerequisites to run this semantic search application?

To run this application, you will need an OpenAI API key and a Pinecone API key. These are essential for generating embeddings with GPT3 and storing/retrieving vectors from the Pinecone database, which are core functionalities of the semantic search system.

How can I add my own custom data to the semantic search engine?

You can add your own custom text or markdown files by placing them into the `/documents` folder of the project. The application is designed to embed these files into vectors and store them in Pinecone, making them searchable through the semantic search interface.

What kind of questions can I ask the pre-configured app data?

The pre-configured application data is based on the Lens protocol developer documentation. Therefore, you can ask questions related to Lens protocol, such as differences between Lens and traditional social platforms, or how to query Lens data in bulk.

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Coding & Development › Backend & APIs Coding & Development › Frontend & UI Coding & Development › Open Source & Models AI Agents & Automation › RAG & Document AI

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