Extends of Apache Ignite, add feathers:Mongodb protocol,Gremlin protocol, vector search,fulltext search,graph compute
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Updated
May 28, 2024 - Java
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. 🌵 🦙 🔥 ❤️ 🖖🏼
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.
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
LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka.
Miscellaneous codes and writings for MLOps
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🦙.
Vector index module for MyScaleDB, the SQL vector database for scalable AI.
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