txtai
What it is
txtai is an open-source framework for semantic search, language model orchestration, and related workflows. Its embeddings database brings together vector indexes, graph networks, and relational databases, supporting vector search with SQL, object storage, topic modeling, graph analysis, and multimodal indexing. It can create embeddings from text, documents, audio, images, and video. Language-model pipelines cover prompts, question answering, labeling, transcription, translation, and summarization; workflows combine pipelines with business logic, and agents can coordinate these components with other agents. Web and Model Context Protocol APIs are available, along with bindings for JavaScript, Java, Rust, and Go. txtai can run locally, on servers or clusters, and in serverless deployments. Installation is available through pip or Docker, and Python 3.11 or later is supported. The software is free and licensed under Apache 2.0. Its API uses HTTP by default; the documentation describes HTTPS and API-token authorization options, and safeopen is enabled by default for API and application runs.
For and against
For
- Free and open-source under Apache 2.0.
- Works with text, documents, audio, images, and video.
- Offers APIs and bindings for four languages.
- Can run locally, on servers, clusters, or serverless platforms.
Against
- Requires Python 3.11 or later for the documented pip install.
- API is open over HTTP by default.
- Hosted txtai.cloud is described as planned, with no listed pricing.
The verdict
txtai brings search, model pipelines, workflows, and agents into one framework, with local and serverless deployment options. Its free Apache 2.0 license may appeal to teams comfortable with installation and configuration.
Who it suits
txtai suits developers and teams building semantic search, language-model workflows, or multimodal applications. It may also suit users who want to run those systems locally or deploy them across server and serverless environments.
Plans and prices
txtai
Open-source under Apache 2.0 · Install via pip or run with Docker
Read 5 Oct 2026 · neuml.github.io
On the record
- APIs and bindings
- txtai provides Web and Model Context Protocol APIs, with bindings for JavaScript, Java, Rust, and Go.neuml.github.io · read 5 Oct 2026
- API security
- The API is open over HTTP by default; the security guide recommends enabling HTTPS and documents API-token authorization.neuml.github.io · read 5 Oct 2026
- Deployment
- txtai API instances and workflows can run locally, on a server, on a cluster, or serverless; documented serverless options include AWS Lambda, Google Cloud Functions, Azure Cloud Functions, and Kubernetes with Knative.neuml.github.io · read 5 Oct 2026
- Embeddings database
- Its embeddings database combines sparse and dense vector indexes, graph networks, and relational databases.neuml.github.io · read 5 Oct 2026
- Features
- It supports vector search, multimodal embeddings, language-model pipelines, workflows, and autonomous agents.neuml.github.io · read 5 Oct 2026
- Formats
- It can create embeddings for text, documents, audio, images, and video.neuml.github.io · read 5 Oct 2026
- Hosted offering
- The official pages describe txtai.cloud as a planned effort for hosted txtai applications, without listing plan pricing.neuml.github.io · read 5 Oct 2026
- Install and runtime
- The documented install is via pip and PyPI, Python 3.11+ is supported, and Docker images are available for CPU and GPU installs.neuml.github.io · read 5 Oct 2026
- Integrations
- The documentation describes agent support for Hugging Face and llama.cpp models, and OpenAI, Claude, and AWS Bedrock through LiteLLM.neuml.github.io · read 5 Oct 2026
- License
- txtai is open-source under the Apache 2.0 license.neuml.github.io · read 5 Oct 2026
- License and price
- txtai is open-source under the Apache 2.0 license; the official pages reviewed describe pip installation and self-hosting and do not list a software price.neuml.github.io · read 5 Oct 2026
- Local operation
- txtai can run locally, and its documentation says this avoids shipping data to disparate remote services.neuml.github.io · read 5 Oct 2026
- Local use
- The maker says txtai can run locally, avoiding the need to send data to separate remote services.neuml.github.io · read 5 Oct 2026
- Media support
- txtai can create embeddings for text, documents, audio, images, and video.neuml.github.io · read 5 Oct 2026
- Operating systems
- The installation guide provides environment-specific prerequisites for Linux, macOS, and Windows.neuml.github.io · read 5 Oct 2026
- Pipelines
- Language model pipelines can handle prompts, question answering, labeling, transcription, translation, and summarization.neuml.github.io · read 5 Oct 2026
- Product
- txtai is an all-in-one AI framework for semantic search, LLM orchestration, and language model workflows.neuml.github.io · read 5 Oct 2026
- Purpose
- txtai is an all-in-one AI framework for semantic search, LLM orchestration, and language model workflows.neuml.github.io · read 5 Oct 2026
