Chroma
Chroma · Vector databases
Open-source embedding database with a minimal Python and JavaScript API, usable in-process, as a server or through Chroma Cloud
9 tools
Chroma · Vector databases
Open-source embedding database with a minimal Python and JavaScript API, usable in-process, as a server or through Chroma Cloud
Sebastián Ramírez (tiangolo) and FastAPI contributors · API development & tooling
Python web framework for building HTTP APIs from type-annotated functions, with automatic validation through Pydantic and generated OpenAPI documentation
LangChain, Inc. · Agent frameworks & orchestration
Low-level orchestration framework and runtime for stateful, long-running agents expressed as graphs, with durable execution, checkpointing, human-in-the-loop and streaming
BerriAI · Prompting, evaluation & observability
Open-source Python SDK and self-hosted AI gateway that calls 100+ LLM providers in the OpenAI format, with routing, fallbacks, virtual keys, budgets, spend tracking and logging callbacks
LlamaIndex, Inc. · Agent frameworks & orchestration
Open-source Python framework for retrieval-augmented agents over your data, with connectors, indexes, query engines and event-driven workflows, alongside the commercial LlamaParse document platform
Zilliz / LF AI & Data Foundation · Vector databases
Open-source vector database from Zilliz with Lite, Standalone and Distributed deployments, many index types and GPU acceleration
Model Context Protocol, a Series of LF Projects, LLC (originated by Anthropic) · Agent frameworks & orchestration
Open JSON-RPC standard for connecting AI applications to tools, data and prompts through servers, now stewarded under the Linux Foundation with SDKs in many languages
Ollama · Local LLM inference & serving
Open-source runtime and model manager for running open-weight LLMs locally on macOS, Windows and Linux, with a REST API, OpenAI- and Anthropic-compatible endpoints and optional cloud models
Qdrant Solutions GmbH · Vector databases
Open-source vector search engine written in Rust with filterable HNSW indexes, sparse and multi-vector support, REST/gRPC APIs and a managed cloud
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