Vector Search

Distributed search and analytics are provided by Elasticsearch, an open-source engine for indexed data.

Biblos supports semantic Bible search and layered analysis through a GitHub project.

ParadeDB adds full text search, vector retrieval, and aggregations to PostgreSQL.

Just like the IKEA Effect, but for the AI products. Try not to overenginner when working with LLMs.

txtai combines semantic search, language-model orchestration and AI workflows in an open-source framework.

Zilliz Cloud provides a managed vector data platform powered by Milvus, with real-time search and data operations across major cloud regions.

Chroma provides open-source data infrastructure for AI applications, with vector, full-text, regex, and metadata search.

PostgreSQL vector search can use pgvecto.rs, an extension described as scalable and low latency.

MongoDB provides a data platform for application workloads across cloud environments.

AI search and serving structured data are provided by Vespa, an open-source software platform.

Dynbox organizes local and cloud files through an AI agent that can search, rename, move, and sort files.

Chroma provides open source search infrastructure for AI applications.

Distributed vector search is provided by Vald, an engine designed to scale across deployments.

Gerev helps organizations search conversations, documents, and internal pages using AI, with hosted and self-hosted options.

Onyx provides open-source AI chat that can work with different language models.

An open-source vector database, Weaviate stores objects and vectors and supports vector search.

Vector search and storage are the focus of VectorDB, a Python vector database project.

Vector similarity search is provided by Qdrant, an open-source search engine written in Rust.

notesGPT records voice notes, transcribes and summarizes them, and extracts tasks.

txtai combines semantic search, language model orchestration, and AI workflow tools in one framework.

GPTCache provides semantic caching for large language models and integrates with LangChain and LlamaIndex.

Search AI application data with Infinity, a database supporting vectors, tensors, and full-text queries.

Epsilla provides a vector database that uses parallel graph computing for search workloads.

Vearch provides distributed vector search capabilities for applications built around artificial intelligence.