AI knowledge base search

Managed vector database for production-scale similarity search.

Data framework for connecting LLMs to your data.

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

The enterprise AI assistant that searches, answers, and takes action across your business systems

Generative AI and RAG built into the Snowflake data cloud

Serverless vector and document database for production RAG and AI agents

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

Work AI platform that unifies enterprise knowledge, search, and agents

Open-source RAG framework for building custom AI assistants over your own documents in a few lines of Python.

Open-source vector DB with hybrid search and modules.

The broad LLM application framework — chains, agents, retrievers.

Open-source feature store that serves consistent features to ML training and online inference, with RAG vector search built in.

Open-source multimodal lakehouse and vector database built for AI training and retrieval at petabyte scale.

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

Embedded, developer-friendly vector store for Python.

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.

Web scraping and crawling API that returns LLM-ready markdown, JSON, or structured data from any URL.

In-line AI inside your Notion docs and databases.

Open-source GenBI semantic layer that lets AI agents query your warehouse in natural language with governed, accurate SQL.

Open-source desktop and self-hosted app that turns your documents into a private chat-and-agent workspace.

Open-source personal AI that builds agents, searches your documents, and automates research across local files and the web.

Chat-with-your-documents RAG tool with citation-backed answers across uploaded PDFs and files.

Self-hostable RAG and agent framework that wires LangChain to any local open-source LLM and a knowledge base.

Open-source metadata platform that gives AI agents a semantic context graph over your data stack.

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

Agent-as-a-Service platform with managed RAG and a no-code builder for vertical enterprise AI.

Live data framework for production RAG and streaming ETL pipelines in Python.

Open-source desktop AI client that wires 300+ LLMs into one chat, knowledge-base, and agent workspace.

Open-source graph-memory layer that gives AI agents persistent, queryable context across sessions.

Open-source temporal knowledge graph framework for building agent memory that updates in real time.

Open-source multi-agent framework for schema-guided knowledge extraction from documents.

Tencent's open-source RAG framework that turns raw documents into a queryable knowledge base, ReAct agent, and self-maintaining wiki.

Open-source embedding and reranker models from BAAI that anchor a huge share of production RAG stacks.

PostgreSQL extension that runs embeddings, vector search, and LLM inference inside your database.

Managed Postgres with pgvector on dedicated NVMe, pitched as a cheaper RAG backend than Pinecone or Supabase.

Custom GPT-powered support chatbots trained on your website content and docs.

Custom-trained chatbot that turns your website, docs, and PDFs into a multilingual support and lead-gen agent.

Low-code, YAML-driven RAG pipeline orchestrator with a visual UI for building and demoing retrieval systems.

No-code AI chatbot builder that trains on your website content for support and lead capture.

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

Open-source RAG UI for chatting with your own documents, locally or self-hosted.

Open-source enterprise RAG and agent platform with built-in workflow engine and multi-LLM support.

Production-ready, air-gapped RAG framework for querying your documents with local LLMs.

AI-native Firebase alternative bundling document DB, vector DB, auth, storage, and built-in AI services.

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

AI-powered customer support stack purpose-built for SaaS startups, bundling a trained chatbot, ticketing, and knowledge base.