Miscellaneous codes and writings for MLOps
-
Updated
Jun 9, 2024 - Jupyter Notebook
Miscellaneous codes and writings for MLOps
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere) using AWS CDK on AWS
Extends of Apache Ignite, add feathers:Mongodb protocol,Gremlin protocol, vector search,fulltext search,graph compute
JS/TS library to make to easy to build with LLMs. Full support for various LLMs and VectorDBs, Agents, Function Calling, Chain-of-Thought, RAG, Semantic Router and more. Based on the popular Stanford DSP paper. Create and compose efficient prompts using prompt signatures. 🌵 🦙 🔥 ❤️ 🖖🏼
A simple streamlit RAG webapp that you can chat and ask question to PDFs you upload with Gemini pro API
Vector index module for MyScaleDB, the SQL vector database for scalable AI.
LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka.
Chat locally with any PDF Ask questions, get answer with usefull references Work well with math pdfs (convert them to LaTex, a math syntax comprehensible by computer)
An open-source, high-performance SQL vector database built on ClickHouse.
pinecone.io Library in Elixir
Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service using Haystack
go native port of annoy. Approximate Nearest Neighbors in optimized for memory usage and loading/saving to disk.
I just wanna build my own LLM with RAG
Code for Embeddings, VectorStore, SemanticSearch, and RAG using Azure OpenAI
How to create a vector store from scratch with PostgreSQL as a Vector Database.
A Medical RAG based chatbot built using llama2 model🦙.
Add a description, image, and links to the vectordb topic page so that developers can more easily learn about it.
To associate your repository with the vectordb topic, visit your repo's landing page and select "manage topics."