apsaltis's Stars
influxdata/influxdb
Scalable datastore for metrics, events, and real-time analytics
qdrant/qdrant
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
infiniflow/ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
deepset-ai/haystack
:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
kubernetes/community
Kubernetes community content
vercel/ai
Build AI-powered applications with React, Svelte, Vue, and Solid
jlevy/og-equity-compensation
Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec
Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
finos/perspective
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
priyankavergadia/google-cloud-4-words
The Google Cloud Developer's Cheat Sheet
vercel/ai-chatbot
A full-featured, hackable Next.js AI chatbot built by Vercel
apache/datafusion
Apache DataFusion SQL Query Engine
async-graphql/async-graphql
A GraphQL server library implemented in Rust
truefoundry/cognita
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
delta-io/delta-rs
A native Rust library for Delta Lake, with bindings into Python
J-F-Liu/lopdf
A Rust library for PDF document manipulation.
kaiwaehner/kafka-streams-machine-learning-examples
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
aws-samples/bedrock-claude-chat
AWS-native chatbot using Bedrock + Claude (+Mistral)
GoogleCloudDataproc/spark-bigquery-connector
BigQuery data source for Apache Spark: Read data from BigQuery into DataFrames, write DataFrames into BigQuery tables.
aws-samples/genai-quickstart-pocs
This repository contains sample code demonstrating various use cases leveraging Amazon Bedrock and Generative AI. Each sample is a separate project with its own directory, and includes a basic Streamlit frontend to help users quickly set up a proof of concept.
Anush008/fastembed-rs
Library for generating vector embeddings, reranking in Rust
resource-disaggregation/snowset
Snowflake dataset containing statistics for 70 million queries over 14 day period
qdrant/examples
A collection of examples and tutorials for Qdrant vector search engine
InsightByte/ApacheNifi
Youtube Apache NiFi 2022 Series resources
aws-samples/amazon-bedrock-kendra-lex-chatbot
The repository offers a base implementation of incorporating an Amazon Bedrock based chatbot with Amazon Lex.
darko-mesaros/bedrust
Invoking models on Amazon Bedrock using Rust
savelee/kube-django-ng
This demo, showcases a dummy banking portal. It includes: Django Rest Framework, Dialogflow, Angular, Socket.io and Kubernetes Engine, Cloud Builder, Pub/Sub, DLP API, NLP API, Google Cloud Storage, Cloud Functions and BigQuery.
aws-samples/recipe-ai
A Next.js sample app utilizing AWS Amplify, AWS AppSync, and Amazon Bedrock to develop an AI-powered Recipe Generator
ryanadoty/Amazon-Bedrock-RAG-Kendra-POC
This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement a RAG based architecture with Amazon Kendra. The application is constructed with a simple streamlit frontend where users can ask questions against documents stored in Amazon Kendra.
GoogleCloudPlatform/hadoop-discovery-tool