Chroma

The agent engineering platform.

LLM inference in C/C++

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance an

Open-source vector similarity search for Postgres

Document Chatbot — multiple files. Powered by GPT / Embedding.

Build full-stack, type-safe, LLM-powered apps with the T3 Stack, Turborepo, OpenAI, and Langchain

Universal memory layer for AI Agents

Create agentic, context engineered AI systems using Haystack’s modular and customizable building blocks, built for real-world, production-ready applications.

Publications — Google DeepMind

Accurate answers and instant citations for your documents.

The agent engineering platform.

Multi-modal LLM observability and evaluation platform. Create prompt templates, deploy prompts versions, debug LLM runs, create datasets, run evaluations, monitor LLM metrics and c

A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

Memory layer for AI apps. Personalisation, continuity, and recall as a service.

MemFree - Hybrid AI Search Engine & AI Page Generator

MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions. Seamlessly integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery. Powered by GPT-4 and Lla

Interact with your documents using the power of GPT, 100% privately, no data leaks

EXPLAIN ANALYZE for RAG retrieval — inspect, debug, benchmark, and tune your retrieval layer

Distributed semantic cache and stateful routing system that cuts LLM API costs by returning cached responses for semantically similar queries. Uses ANN vector search (cosine ≥ 0.8)

The AI Agent Workforce Platform — where teams scale beyond headcount. Give every team member an AI agent squad.

Open-source context retrieval layer for AI agents

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

AI agent microservice

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Collections of vector search related libraries, service and research papers

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

Build AI Agents, Visually

Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali

The data framework for LLM apps. RAG, ingestion, structured extraction, agents over your data.

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, re

Unified framework for building enterprise RAG pipelines with small, specialized models

Your all-in-one prompt management and observability platform. Craft, track, and perfect your LLM prompts with ease.

Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with

Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama.

Building a quick conversation-based search demo with Lepton AI.

Automated detection of knowledge gaps and blind spots in RAG vector stores.

Microsoft's enterprise-flavoured framework for AI agents. .NET-first, with Python and Java siblings.

A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

RAG LLM Ops App for easy deployment and testing

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

AI Native database for embedding vectors

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

Ecommerce Search and Discovery - marqo.ai

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Open-source vector similarity search for Postgres

Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Managed pgvector on dedicated PostgreSQL with NVMe storage. 2,000 QPS at sub-4ms p50, from $35/month, migration help from Supabase, Neon, Pinecone, and self-hosted.

Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python +

A Python vector database you just need - no more, no less.

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance an