datasette-faiss VS llm-gpt4all

Compare datasette-faiss vs llm-gpt4all and see what are their differences.

datasette-faiss

Maintain a FAISS index for specified Datasette tables (by simonw)

llm-gpt4all

Plugin for LLM adding support for the GPT4All collection of models (by simonw)
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datasette-faiss llm-gpt4all
1 3
32 189
- -
10.0 6.9
over 1 year ago about 1 month ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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datasette-faiss

Posts with mentions or reviews of datasette-faiss. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-04.
  • LLM now provides tools for working with embeddings
    7 projects | news.ycombinator.com | 4 Sep 2023
    I experimented with that a few months ago. Building a fresh FAISS index for a few thousand matches is really quick, so o think it's often better to filter first, build a scratch index and then use that for similarity: https://github.com/simonw/datasette-faiss/issues/3

llm-gpt4all

Posts with mentions or reviews of llm-gpt4all. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-04.
  • LLM now provides tools for working with embeddings
    7 projects | news.ycombinator.com | 4 Sep 2023
    I'm still iterating on that. Plugins get complete control over the prompts, so they can handle the various weirdnesses of them. Here's some relevant code:

    https://github.com/simonw/llm-gpt4all/blob/0046e2bf5d0a9c369...

    https://github.com/simonw/llm-mlc/blob/b05eec9ba008e700ecc42...

    https://github.com/simonw/llm-llama-cpp/blob/29ee8d239f5cfbf...

    I'm not completely happy with this yet. Part of the problem is that different models on the same architecture may have completely different prompting styles.

    I expect I'll eventually evolve the plugins to allow them to be configured in an easier and more flexible way. Ideally I'd like you to be able to run new models on existing architectures using an existing plugin.

  • Accessing Llama 2 from the command-line with the LLM-replicate plugin
    16 projects | news.ycombinator.com | 18 Jul 2023
    My LLM tool can be used for both. That's what the plugins are for.

    It can talk to OpenAI, PaLM 2 and Llama / other models on Replicate via API, using API keys.

    It can run local models on your own machine using these two plugins: https://github.com/simonw/llm-gpt4all and https://github.com/simonw/llm-mpt30b

  • The Problem with LangChain
    14 projects | news.ycombinator.com | 14 Jul 2023
    Yeah I haven't figured out how to have it reuse the models from the desktop GPT4All installation yet, issue here: https://github.com/simonw/llm-gpt4all/issues/5

What are some alternatives?

When comparing datasette-faiss and llm-gpt4all you can also consider the following projects:

llm-cluster - LLM plugin for clustering embeddings

ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.

DP_means - Dirichlet Process K-means

gchain - Composable LLM Application framework inspired by langchain

llm-mlc - LLM plugin for running models using MLC

simpleaichat - Python package for easily interfacing with chat apps, with robust features and minimal code complexity.

multi-gpt - A Clojure interface into the GPT API with advanced tools like conversational memory, task management, and more

llama.cpp - LLM inference in C/C++

aipl - Array-Inspired Pipeline Language

llm-api - Fully typed & consistent chat APIs for OpenAI, Anthropic, Groq, and Azure's chat models for browser, edge, and node environments.

llm-replicate - LLM plugin for models hosted on Replicate

buildabot - A production-grade framework for building AI agents.

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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.
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