Lagoon Alternatives

Similar projects and alternatives to lagoon based on common topics and language

refact

34 1,422 9.8 JavaScript lagoon VS refact

WebUI for Fine-Tuning and Self-hosting of Open-Source Large Language Models for Coding
chatd

2 791 8.7 JavaScript lagoon VS chatd

Chat with your documents using local AI
SurveyJS

surveyjs.io featured

Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
gpu_poor

3 623 8.3 JavaScript lagoon VS gpu_poor

Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization
pico-jarvis

1 52 8.8 JavaScript lagoon VS pico-jarvis
GPTPortal

11 158 9.4 JavaScript lagoon VS GPTPortal

A feature-rich portal to chat with GPT-4, Claude, Gemini, Mistral, & OpenAI Assistant APIs via a lightweight Node.js web app; supports customizable multimodality for voice, images, & files.
ragdoll

1 73 8.7 JavaScript lagoon VS ragdoll

The library for character-driven AI experiences. (by bennyschmidt)
openai-excel-functions

1 21 8.7 JavaScript lagoon VS openai-excel-functions

Create OpenAI chat completions from Excel formulas
InfluxDB

www.influxdata.com featured

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better lagoon alternative or higher similarity.

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Lets build a Github document search tool using React + Supabase + LLAMA2
1 project | dev.to | 10 Oct 2023

Building document Q&A apps using LLMs has become mainstream now and I built one a few months ago. Constructing a prompt with a context and getting a response from an LLM is pretty simple. Tools like the OpenAI library and the huggingface transformer library have made it a walk in the park. The fun part of building such apps is putting together the different layers of the application to generate a proper prompt with a context, that gives you a near-accurate response out of the LLM. So, this article will focus more on those layers and techniques rather than showing the complete source code for every operation. Because the code is pretty simple and it is the interaction between the different layers that makes this more interesting. Anyway, the entire project is available on Github for you to explore and hack out something creative