A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
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Updated
Jul 15, 2024 - TypeScript
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
Neo4j graph construction from unstructured data using LLMs
Build LLM powered Agents and "Agentic workflows" based on the Stanford DSP paper.
An open-source, high-performance SQL vector database built on ClickHouse.
LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka.
Awesome List of Vector DB resources
A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
pinecone.io Library in Elixir
AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB
A universal Qdrant table frontend based on transformers.js
Python SDK for FirstBatch: Real-time personalization using vectorDBs
Deployment of chromadb into AWS resources through terraform
This project demonstrates how to parse emails, process them using OpenAI's GPT-3.5, and load the data into a Weaviate vector database for enhanced search capabilities. Utilizing few-shot prompts and parallel processing, it showcases the power of combining NLP techniques with vector search.
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