Ecosystem Directory

Observability and testing platform for monitoring AI agent context windows and cost.

Query language and chrome engine for extracting structured web context for AI agents.

Search and discovery platform offering NeuralSearch combining keyword and vector retrieval.

AI research lab creating Claude, Model Context Protocol (MCP), and Prompt Caching.

AI observability and evaluation platform offering Phoenix for open-source RAG tracing.

Cloud provider offering Bedrock Knowledge Bases for managed RAG and agent context.

Enterprise Chinese language web retrieval and semantic search engine platform.

Enterprise platform for evaluating, logging, and refining LLM prompts and context quality.

Independent web search API powering AI search and agent retrieval with real-time web indexes.

Headless browser cloud infrastructure designed for AI web automation and data extraction.

Open-source AI-native embedding database designed for developer simplicity.

Data quality platform for detecting noisy labels and unstructured context issues in datasets.

Columnar database management system supporting fast vector indexing and analytics.

Memory and knowledge graph ingestion engine designed for autonomous AI applications.

AI research lab creating Devin, the autonomous software engineer with persistent codebase context.

Enterprise AI company delivering state-of-the-art embedding models and cross-encoder rerankers.

Web scraping and real-time data extraction API platform for AI agents, LLMs, and RAG pipelines.

Enterprise platform creating specialized RAG platforms and context retrieval architectures.

Open-source asynchronous web crawler designed for LLM data pipelines and RAG.

Framework for orchestrating role-playing autonomous AI agents and task workflows.

Universal semantic layer platform unifying data models for LLMs and data applications.

Data intelligence platform offering Databricks Vector Search and governance for AI context.

Data transformation workflow platform offering the dbt Semantic Layer for SQL data context.

Open-source LLM evaluation framework for unit testing RAG pipelines and context retrieval.

AI-driven web crawling and automatic knowledge graph extraction platform.

Open-source LLM application development platform featuring RAG pipeline creation.

In-process analytical database system supporting fast local vector indexing and SQL querying.

Custom AI assistant platform providing context connections into Slack, Notion, and GitHub.

Secure cloud sandboxes designed for running AI agent code execution and tool calls.

Search and analytics engine offering vector search, BM25, and hybrid search capabilities.

Platform for building complex enterprise multi-agent workflows with context awareness.

Neural search engine indexing the web for AI models and autonomous research agents.

Framework for evaluating Retrieval Augmented Generation (RAG) context pipelines.

Autonomous software development bots managing deep codebase context windows.

Ultra-fast graph database designed specifically for low-latency LLM GraphRAG workloads.

Open-source Python framework for rapidly building Model Context Protocol servers.

API that turns entire websites into LLM-ready markdown for RAG and context hydration.

Open-source UI visual tool to build customized LLM orchestration and RAG flows.

High-performance Neuro-Symbolic AI knowledge graph database with RDF triplestore capability.

Enterprise AI work assistant providing unified semantic search across internal corporate apps.

Self-constructing knowledge database and ontology platform for mapping complex domains.

Cloud platform offering Vertex AI Search and Conversation for enterprise context retrieval.

Open-source LLM observability platform providing request logging and context caching.

Multimodal AI search platform providing embedding models, re-rankers, and web reading APIs.

Embedded, fast property graph database management system designed for graph analytics.

Enterprise LLM platform offering Memory Tuning for embedding factual memory directly into model weights.

Developer-friendly, embedded vector database for AI applications built on Lance columnar format.

Vision-AI platform providing document layout and visual data extraction tools.

Open-source framework and platform for building LLM applications, RAG pipelines, and LangGraph agents.

Visual framework for building multi-agent workflows and context retrieval pipelines.

Open-source LLM engineering platform for tracing context, prompts, and evaluation.

Platform for building stateful AI agents with persistent memory.

Data framework for connecting custom data sources to large language models.

Vector search engine providing end-to-end vector generation, storage, and retrieval.

The memory layer for personalized AI applications and autonomous agents.

In-memory graph database built in C++ for real-time graph algorithms and GraphRAG.

Framework for building multi-agent conversing workflows and GraphRAG context retrieval.

No-code platform for building context-aware AI applications, agents, and custom workflows.

Advanced retrieval platform offering state-of-the-art embedding models and cross-encoders.

Serverless cloud platform for running LLM inference, embedding generation, and worker tasks.

Developer document database offering Atlas Vector Search for operational context data.

Enterprise graph database powering knowledge graphs, GraphRAG, and complex entity analytics.

Serverless Postgres database platform supporting pgvector for scalable AI context storage.

Semantic web and RDF graph database platform (GraphDB) for enterprise ontologies.

AI research company providing GPT models, Assistants API, function calling, and vector stores.

Enterprise software company building AIP (Artificial Intelligence Platform) for ontology-grounded decision making.

Conversational answer engine combining real-time web search and context synthesis.

Fully managed vector database built for high-throughput semantic search and RAG.

AI gateway providing latency monitoring, prompt caching, and context routing.

Prompt management and context versioning platform for tracking model requests.

Graph analytics engine allowing users to query relational data warehouses directly as a graph.

Vector similarity search engine with extended filtering support and cloud deployment.

In-memory data store providing vector search and RedisVL for semantic caching.

API for parsing complex documents (tables, forms, charts) into clean markdown for LLMs.

Knowledge graph coprocessor system integrating relational knowledge into cloud data platforms.

Cloud platform to run open-source AI models, embeddings, and cross-encoders via API.

AI assistant platform specifically tailored for indexing developer documentation and codebases.

Web scraping API handling proxy rotation and headless browser rendering for data gathering.

Developer platform for extracting structured data from documents using LLMs.

Real-time AI-based entity resolution software engine for disambiguating data records.

Distributed SQL database optimized for high-speed vector search and transactional context.

Cloud data warehouse featuring Cortex Search and vector functions for enterprise data context.

API platform providing automated Model Context Protocol (MCP) server generation from OpenAPI.

Framework for programmatically compiling declarative LM prompts and retrieval pipelines.

Enterprise knowledge graph platform connecting disparate silos into a semantic reasoning model.

Open-source Firebase alternative with integrated Postgres and pgvector search.

Context automation platform for managing enterprise AI agent memory and tool state.

Data mastering platform using machine learning to resolve entities across enterprise data silos.

Search engine API purpose-built for AI agents and LLMs to perform real-time web research.

Enterprise parallel graph database for large-scale graph analytics and deep link queries.

Evaluation suite for measuring RAG quality using the RAG Triad (groundedness, context relevance, answer relevance).

Stateless vector database service built on object storage for ultra-low-cost vector indexing.

Data ingestion platform transforming unstructured files into structured outputs for RAG.

Big data serving engine for vector search, lexical search, and structured queries at scale.

Domain-specific and custom embedding/re-ranking models engineered for maximal retrieval accuracy.

Open-source vector database for AI application data with hybrid search and vector index modularity.

Full-stack enterprise generative AI platform featuring Knowledge Graph RAG context integration.

Memory service for AI agents and assistants providing long-term persistence and graph summaries.

Cloud-native distributed vector database built to handle billion-scale vector embeddings.

Open-source entity resolution framework built for scalable data deduplication.