vectordb

Neo4j graph construction from unstructured data using LLMs

The pretty much "official" DSPy framework for 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

Benchmark for vector databases.

A @ClickHouse fork that supports high-performance vector search and full-text search.

Full-text and semantic search on any Postgres

Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift

A collection of apps powered by the LangChain LLM framework.

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.

LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka.

In-memory vector store with efficient read and write performance for semantic caching and retrieval system. Redis for Semantic Caching.

A modern desktop application for exploring, managing, and analyzing vector databases

Awesome List of Vector DB resources

chm to markdown and vectorDB

TinyVecDB is an ultra fast embedded vector database.

A comprehensive collection of Generative AI projects and experiments, covering RAG, chatbots, LLM fine-tuning, and more.

Embedded-first vector database that grows into a self-hosted service and lightweight cluster.

A universal Qdrant table frontend based on transformers.js

query builder of golang, build sql for go framework: sqlx, gorp... build json for Qdrant vectordb, custom for any database .... the AI-First vector db builder for rag

Python SDK for FirstBatch: Real-time personalization using vectorDBs