A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
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Updated
Jun 12, 2024 - Rust
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Distributed vector search for AI-native applications
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
Postgres for Search and Analytics
Website for the Weaviate vector database
The codebase for the book "AI-Powered Search" (Manning Publications, 2024)
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
Semantic Search + Keyword Search + Hybrid Search + Filtering + Faceting on 300K HN Comments
OpenAI chatGPT hybrid search and retrieval augmented generation
Lite weight wrapper for the independent implementation of SPLADE++ models for search & retrieval pipelines. Models and Library created by Prithivi Da, For PRs and Collaboration checkout the readme.
This project provides an example of consolidating Milvus (vector search engine) and PostgreSQL (relational database) to carry out the hybrid search of vectors and structured data.
Semantic Search on Langchain Github Issues with Weaviate
Unlock the power of vector databases with the "Vector Databases: from Embeddings to Applications" course! A journey that will equip you with essential skills to leverage vector databases for various applications.
Doraemon Himitsu Dogu Japanese hybrid search based on Elascticsearch ANN x multi match
An example of Named-entity Recognition and relation mapping using an LLM and Vector Database. Also includes a Branching Hybrid-Search Chatbot to utilize extracted relations.
Blog posts for ParadeDB as .mdx, hosted on Mintlify
This project implements hybrid search of vectors and structured data based on Milvus Partitions.
Hybrid Search with Postgres and Ecto
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