Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
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Updated
Jun 12, 2024 - Python
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
A Python nearest neighbor descent for approximate nearest neighbors
PECOS - Prediction for Enormous and Correlated Spaces
Pure python implementation of product quantization for nearest neighbor search
Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.
⚡ A fast embedded library for approximate nearest neighbor search
A lightweight benchmark for approximate nearest neighbor search
(distributed) vector database
🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library
Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.
Fast k-NN graph construction for slow metrics
A Python package for hubness analysis and high-dimensional data mining
Hi. I am jann. I am text input - text output chatbot model that is JUST approximate nearest neighbour.
Bi-encoder Based Entity Linking Tutorial. You can run experiment only in 5 minutes. Experiments on Co-lab pro GPU are also supported!
Zero-shot Entity Linking with blitz start in 3 minutes. Hard negative mining and encoder for all entities are also included in this implementation.
🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings
Serverless, lightweight, and fast vector database on top of DynamoDB
An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).
Code accompanying AWS blog post "Build a Semantic Search Engine for Tabular Columns with Transformers and Amazon OpenSearch Service"
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