keywords:langchain - npm search

langchain-bot

A NodeJS RAG framework to easily work with LLMs and custom datasets

adhityan

published 0.0.64 7 months ago

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embeddings-js

A NodeJS RAG framework to easily work with LLMs and custom datasets

adhityan

published 0.0.64 7 months ago

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eqip-ai-sdk

Eqip AI sdk

inavion.dev

published 1.0.4 a year ago

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The FunctionChain is a tool that simplifies and organizes the process of invoking OpenAI functions in your Node.js applications. With this toolkit, you can easily scaffold out and isolate all the OpenAI function calls you need, making your code more modul

developersdigest

published 0.0.55 a year ago

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@twilix.io/blitzchain

BlitzChain is Twilix's in-house version of LangChain that is superior in accuracy, speed, and cost.

yiming-tw

published 1.0.3 a year ago

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@thirdrocktechno/strapi-gpt

A StrapiGPT plugin for integrating AI-powered custom ChatBot with your strapi content.

devangp.trt

published 1.0.3 a year ago

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prompt-template

Generate prompt templates for large language models

josharsh

published 1.0.3 a year ago

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ecomsearch

Ecommerce online store search app

munkhorgil

published 0.1.17 a year ago

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log10js

⚡ Unified LLM data management ⚡

nqnielsen

published 0.0.3 a year ago

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gptindex.js

Scaffold TypeScript npm packages using this template to bootstrap your next library.

nyloc

published 1.0.0 2 years ago

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gptindex

Scaffold TypeScript npm packages using this template to bootstrap your next library.

nyloc

published 1.0.0 2 years ago

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jagongan

![version](https://img.shields.io/badge/version-1.0.0-blue) ![license](https://img.shields.io/badge/license-MIT-green)

haidarrifki

published 1.0.0 a year ago

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@elimeleth/builderbot-langchain

Interface para crear chatbot con Builderbot & LangChain

elimeleth

published 1.0.0-alpha.0 5 months ago

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spellbook-forge

Make your LLM prompts executable and version controlled by adding an API layer to a git repository.

rafalzawadzki

published 0.0.3 a year ago

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petr

PETR allows you to run multiple models with the same prompt and then compare the results to each other. Currently designed to be used with [LangChain.js](https://github.com/hwchase17/langchainjs).