Nboost alternatives for AI agents.

Represent, send, store and search multimodal data

Open-source inference server and production cluster for all the models your agent needs.

Buddhist Digital Text Platform — 9,200+ texts, 500+ sources, 8 UI languages, AI Q&A (RAG), knowledge graph, full-text search

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

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

The open source Meme Search Engine and Finder. Free and built to self-host locally with Python, Ruby, and Docker.

Easily compute clip embeddings and build a clip retrieval system with them

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

Multi-tool for semantic search

Semantic search over videos using Gemini Embedding 2 or Qwen3-VL.

MTEB: Massive Text Embedding Benchmark

Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.