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Tutti / Thecat: aliases blog colleciont declarative memory documents episodic memory exchange memories firststep gatto guide home install intelligenza artificiale introduction local long term memory official ollama procedural memory qdrant review text2sql thecat top tutorial vector memory website
Tutti / Thecat: aliases blog colleciont declarative memory documents episodic memory exchange memories firststep gatto guide home install intelligenza artificiale introduction local long term memory official ollama procedural memory qdrant review text2sql thecat top tutorial vector memory website
· 2024-06-28 16:20:04
Getting started Cheshire Cat AI
estimated reading time: 1 min To run the Cheshire Cat, you need to have docker (instructions) and docker-compose (instructions) installed on your system.Create and API key on the language model provider website Start the app with docker-compose up inside the repository Open the app in y
estimated reading time: 1 min To run the Cheshire Cat, you need to have docker (instructions) and docker-compose (instructions) installed on your system.Create and API key on the language model provider website Start the app with docker-compose up inside the repository Open the app in y
· 2024-06-28 16:19:39
Who are you? (Said the caterpillar) Cheshire Cat AI
estimated reading time: < 1 min The Cheshire Cat is an open-source framework that allows you to develop intelligent agents on top of many Large Language Models (LMM). You can develop your custom AI architecture to assist you in a wide range of tasks.The Cheshire Cat embeds a long-
estimated reading time: < 1 min The Cheshire Cat is an open-source framework that allows you to develop intelligent agents on top of many Large Language Models (LMM). You can develop your custom AI architecture to assist you in a wide range of tasks.The Cheshire Cat embeds a long-
· 2024-06-28 16:14:53
Don't get lost in Vector Space Cheshire Cat AI
estimated reading time: 2 min From “How the Cat works”, we report a simple image with all the Cheshire-Cat components.In this post, we focus on the Vector Memory. We look inside it and explain how to import/export and share conversations.Cheshire-Cat’s Memory is based on Qdrant Da
estimated reading time: 2 min From “How the Cat works”, we report a simple image with all the Cheshire-Cat components.In this post, we focus on the Vector Memory. We look inside it and explain how to import/export and share conversations.Cheshire-Cat’s Memory is based on Qdrant Da
· 2024-06-28 16:14:32
How to Run a Local Model with Ollama Cheshire Cat AI
estimated reading time: 3 min Easy-to-use setup to extend the Cheshire Cat Docker configuration and run a local model with Ollama. If you’re interested in having the Cheshire Cat running a local Large Language Model (LLM), there are a handful of methods available. These are: serving
estimated reading time: 3 min Easy-to-use setup to extend the Cheshire Cat Docker configuration and run a local model with Ollama. If you’re interested in having the Cheshire Cat running a local Large Language Model (LLM), there are a handful of methods available. These are: serving
blog aliases intelligenza artificiale thecat qdrant episodic memory vector memory declarative memory exchange memories long term memory procedural memory colleciont
· 2024-06-28 16:13:06
The Drunken Cat Effect Cheshire Cat AIestimated reading time: 4 min In the first article about Vector Memory, we talked about: an introduction to Vector Memory and how it works; we took a look inside the memory, thanks to the Memory tab in the admin; we saw how to save and exchange memories. Today, we are going to focus on
· 2024-06-12 17:38:11
Vanna.AI Personalized AI SQL Agent
estimated reading time: < 1 min !pip install vannaimport vannafrom vanna.remote import VannaDefaultvn = VannaDefault(model='chinook', api_key=vanna.get_api_key('my-email@example.com'))vn.connect_to_sqlite('https://vanna.ai/Chinook.sqlite')vn.ask('What are the top 10 artists by sales?
estimated reading time: < 1 min !pip install vannaimport vannafrom vanna.remote import VannaDefaultvn = VannaDefault(model='chinook', api_key=vanna.get_api_key('my-email@example.com'))vn.connect_to_sqlite('https://vanna.ai/Chinook.sqlite')vn.ask('What are the top 10 artists by sales?
· 2024-06-11 17:49:56
Open Source Evaluation & Testing for LLMs and ML models
docs.giskard.ai
estimated reading time: < 1 min wallabag can't retrieve contents for this article. Please troubleshoot this issue.
estimated reading time: < 1 min wallabag can't retrieve contents for this article. Please troubleshoot this issue.
· 2024-06-08 17:33:48
Cheshire Cat AI, lo Stregatto italiano dell'Intelligenza Artificiale
estimated reading time: 6 min Cheshire Cat, noto anche come Stregatto, è un progetto tutto italiano, open source, che permette di creare servizi basati su Intelligenza Artificiale collegando facilmente LLM e sviluppando proprie estensioniIndice dell'articoloLa piattaforma di cui parlia
estimated reading time: 6 min Cheshire Cat, noto anche come Stregatto, è un progetto tutto italiano, open source, che permette di creare servizi basati su Intelligenza Artificiale collegando facilmente LLM e sviluppando proprie estensioniIndice dell'articoloLa piattaforma di cui parlia
· 2024-02-12 23:11:59+01:00
Write Your First Plugin Cheshire Cat AI
estimated reading time: 7 min Writing a plugin with the Cat takes just a few lines of Python.Our first plugin will turn the Cat into a poetic socks seller. Despite the example being light and fun, it should give you an idea of what is possible. Hence, let’s dive into writing your firs
estimated reading time: 7 min Writing a plugin with the Cat takes just a few lines of Python.Our first plugin will turn the Cat into a poetic socks seller. Despite the example being light and fun, it should give you an idea of what is possible. Hence, let’s dive into writing your firs
· 2024-02-10 02:45:54+01:00
Home Cheshire Cat AI
estimated reading time: < 1 min Upload pdf, txt, markdown, JSON, web pages or office documents to train your AI.Developers can seamlessly integrate external services into their AI projects using user-friendly primitives.Use OpenAI, Google, Cohere, Ollama, HuggingFace, or a custom loc
estimated reading time: < 1 min Upload pdf, txt, markdown, JSON, web pages or office documents to train your AI.Developers can seamlessly integrate external services into their AI projects using user-friendly primitives.Use OpenAI, Google, Cohere, Ollama, HuggingFace, or a custom loc
Stiamo parlando di:
Tutti / Thecat: aliases blog colleciont declarative memory documents episodic memory exchange memories firststep gatto guide home install intelligenza artificiale introduction local long term memory official ollama procedural memory qdrant review text2sql thecat top tutorial vector memory website
Tutti / Thecat: aliases blog colleciont declarative memory documents episodic memory exchange memories firststep gatto guide home install intelligenza artificiale introduction local long term memory official ollama procedural memory qdrant review text2sql thecat top tutorial vector memory website
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