datasette-faiss
llm-gpt4all
| datasette-faiss | llm-gpt4all | |
|---|---|---|
| 1 | 3 | |
| 32 | 191 | |
| - | - | |
| 10.0 | 6.9 | |
| over 1 year ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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datasette-faiss
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LLM now provides tools for working with embeddings
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
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LLM now provides tools for working with embeddings
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.
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Accessing Llama 2 from the command-line with the LLM-replicate plugin
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
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The Problem with LangChain
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?
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.