Best AI tools for hybrid search

Managed vector database for production-scale similarity search.

Hybrid vector + keyword search in the enterprise-grade Elasticsearch engine

Serverless vector and document database for production RAG and AI agents

Vector search built into the operational database you're already using.

Open-source vector DB with hybrid search and modules.

Yahoo's open-source search engine with vector + sparse retrieval.

Managed hybrid vector search that lives inside the Databricks lakehouse and auto-syncs with your source tables.

Open-source RAG engine with deep document parsing, hybrid search, and visual agent orchestration.

Web search API built for AI agents, with structured outputs and token-efficient highlights.

Production-ready RAG infrastructure with agentic search, citations, and model-agnostic plumbing.

AI-assisted systematic review platform for screening, deduplicating, and extracting data from large literature corpora.

AI-curated arXiv discovery layer that summarizes frontier papers and aggregates social discussion around them.

Conversational answer engine that cites its sources by default.

Open-source on-device knowledge graph engine that turns code, docs, papers, meetings and images into a queryable graph.

Enterprise AI agent orchestration that brings RAG and agents to your existing data stack without migration.

Open-source agentic RAG framework for private enterprise data, built by the Zilliz/Milvus team.

Open-source Python framework from deepset for building production RAG pipelines and LLM agents.

Vibe-based semantic search over the AniList catalogue with watch-time and shareable taste cards.

Open-source, lightning-fast search engine with built-in hybrid and vector search for RAG

Open-source Firebase alternative built on Postgres with a first-class pgvector AI toolkit.

AI-native distributed SQL database with built-in vector search, agent memory, and RAG pipelines

Fast search on object storage

State-of-the-art embedding models and rerankers purpose-built for retrieval and RAG.