Postgres for Search and Analytics
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Updated
Jun 13, 2024 - Rust
Postgres for Search and Analytics
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.
Hybrid Search with Postgres and Ecto
Metamorphosis is an irregular database born in a completely different form than modern databases and vector searches.
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Website for the Weaviate vector database
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
Distributed vector search for AI-native applications
OpenAI chatGPT hybrid search and retrieval augmented generation
The codebase for the book "AI-Powered Search" (Manning Publications, 2024)
Blog posts for ParadeDB as .mdx, hosted on Mintlify
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.
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.
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.
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.
Semantic Search on Langchain Github Issues with Weaviate
Semantic Search + Keyword Search + Hybrid Search + Filtering + Faceting on 300K HN Comments
Doraemon Himitsu Dogu Japanese hybrid search based on Elascticsearch ANN x multi match
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.
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