Statistics for topic semantic-search

A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. W...

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.

NNV(No-Named.V) is a vector database that supports Multi-Vector Search, high-performance HNSW, FLAT and quantization, and enables fast searches through sophisticated internal data shard design.

🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.

A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI ...

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. W...

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

NNV(No-Named.V) is a vector database that supports Multi-Vector Search, high-performance HNSW, FLAT and quantization, and enables fast searches through sophisticated internal data shard design.

The easiest way to search for images on your desktop 🔎

A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.

Open-source ecosystem for building AI-powered conversational solutions using RAG, agents, FSMs, and LLMs.

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI ...

A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. W...

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

LitePali is a minimal, efficient implementation of ColPali for image retrieval and indexing, optimized for cloud deployment.

NNV(No-Named.V) is a vector database that supports Multi-Vector Search, high-performance HNSW, FLAT and quantization, and enables fast searches through sophisticated internal data shard design.

A compute framework for building Search, RAG, Recommendations and Analytics over complex structured & unstructured data.

SemanticPDF: Drag, Drop, Semantic Search - SemanticPDF is a simple, privacy-focused application that makes it easy to upload a PDF file and perform a semantic search on contents.

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI ...

Framework for enhancing LLMs for RAG tasks using fine-tuning.

Go library for embedded vector search and semantic embeddings using llama.cpp

A cutting-edge search engine project tailored specifically for the AI product

Radient turns many data types (not just text) into vectors for similarity search, RAG, regression analysis, and more.

A blazing-fast semantic search React component. Match by meaning, not just by letters. Search as you type without waiting (no debounce needed). Rank by cosine similarity.

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI ...

A lightning-fast search API that fits effortlessly into your apps, websites, and workflow

Platform for building AI that can learn and answer questions over federated data.

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. W...

Go library for embedded vector search and semantic embeddings using llama.cpp

CLIP-Finder enables semantic offline searches of images from gallery photos using natural language descriptions or the camera. Built on Apple's MobileCLIP-S0 architecture, it ensures optimal performan...

Hybrid search engine, combining best features of text and semantic search worlds

SemanticPDF: Drag, Drop, Semantic Search - SemanticPDF is a simple, privacy-focused application that makes it easy to upload a PDF file and perform a semantic search on contents.

Fluid Database