Neo4j graph construction from unstructured data using LLMs
- Updated
Aug 10, 2026 - Jupyter Notebook
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.
Single-file memory layer for AI agents, sub mili-second RAG on Apple Silicon. Metal Optimized On-Device. No Server. No API. One File. Pure Swift
vsag is a vector indexing library used for similarity search.
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.