hybrid-search

There are 3 repositories under hybrid-search topic.

meilisearch
meilisearch / meilisearch
A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
app-search database enterprise-search faceting full-text-search fuzzy-search geosearch hybrid-search instantsearch rest rust search search-as-you-type search-engine site-search synonyms typo-tolerance vector-database vectors
Language:Rust 43308
weaviate
weaviate / weaviate
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.
approximate-nearest-neighbor-search generative-search grpc hnsw hybrid-search image-search information-retrieval mlops nearest-neighbor-search neural-search recommender-system search-engine semantic-search semantic-search-engine similarity-search vector-database vector-search vector-search-engine vectors weaviate
Language:Go 9487
paradedb / paradedb
Postgres for Search and Analytics
postgres elasticsearch sparse-vector hybrid-search faceting splade database bm25 full-text-search analytics olap htap big-data sql real-time-analytics aggregations datalake object-storage similarity-search self-hosted
Language:Rust 3810
vearch
vearch / vearch
Distributed vector search for AI-native applications
vectors vector-search cloud-native document-retrieval embeddings vector-database hybrid-search rag retrieval-augmented-generation ai-native ai-native-database
Language:Go 1905
infiniflow / infinity
The AI-native database built for LLM applications, providing incredibly fast full-text and vector search
ai-native llms nearest-neighbor-search rag retrieval-augmented-generation vector-search information-retrival operational-analytics bm25 embedding full-text-search search-engine cpp20-modules sql approximate-nearest-neighbor-search vector-database database hybrid-search hnsw cpp20
Language:C++ 1659
PrithivirajDamodaran / FlashRank
Ultra-lite & Super-fast re-ranking for your search & retrieval pipelines. Based on SoTA models like cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
cross-encoder full-text-search hybrid-search lexical-search rag ranking reranking retrieval-augmented-generation semantic-search vector-database vector-search
Language:Python 254
weaviate-io
weaviate / weaviate-io
Website for the Weaviate vector database
vector-database vector-search vector-search-engine weaviate website generative-search hybrid-search
Language:MDX 47
typesense / showcase-hn-comments-semantic-search
Semantic Search + Keyword Search + Hybrid Search + Filtering + Faceting on 300K HN Comments
hybrid-search semantic-search vector-search
Language:JavaScript 32
PrithivirajDamodaran / SPLADERunner
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.
dense-retrieval hybrid-search semantic-search sparse-representations sparse-retrieval splade vector-search spladeplusplus
Language:Python 20
FullStackWithLawrence / openai-embeddings
OpenAI chatGPT hybrid search and retrieval augmented generation
ci ci-cd embeddings github-actions langchain langchain-python openai openai-api pre-commit pre-commit-hooks pytest python semantic-release pdf pdf-document pinecone hybrid-search rag retrieval-augmented-generation pydantic
Language:Python 9
zilliz-bootcamp / milvus_hybrid_search_based_postgres
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.
milvus postgres hybrid-search vectors-and-structured-data
Language:Python 9
dcarpintero / github-semantic-search
Semantic Search on Langchain Github Issues with Weaviate
bm25 embedding-vectors hybrid-search langchain large-language-models python semantic-search streamlit weaviate
Language:Python 4
ksm26 / vector-databases-embeddings-applications
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.
embeddings generative-ai hybrid-search image-recognition knn knn-classification machine-learning multilingual-search natural-language-processing rag recommender-system retrieval-augmented-generation semantic-search vector-database
Language:Jupyter Notebook
libraryofcelsus / LLM_NER_and_Branching_Hybrid_Search_Chatbot
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.
ai chatbot gpt gpt-4 hybrid-search knowledge-graph named-entity-recognition ocr openai qdrant relation-extraction vector-database
Language:Python
morioka / doraemon-himitsu-dogu-search
Doraemon Himitsu Dogu Japanese hybrid search based on Elascticsearch ANN x multi match
elasticsearch hybrid-search semantic-search
Language:Python
zilliz-bootcamp / milvus_search_based_partition
This project implements hybrid search of vectors and structured data based on Milvus Partitions.
hybrid-search partition milvus
Language:Python