Search research, organize a source library, ask cited questions, extract fields into evidence tables, and write and review source-backed notes.
Anara
Explore features, practical uses and pricing below.
Anara is an AI research workspace for finding literature, building a persistent source library, asking questions across files, extracting comparable information, and drafting cited notes. Its current product is aimed particularly at scientific and academic research. The useful unit of work is a project with a body of evidence: papers, documents, notes, and other imported material that a researcher wants to understand and reuse.
Anara combines several stages that otherwise require separate interfaces. A user can discover a paper, bring it into a project, inspect it, ask a question, extract selected fields into a table, and use its citation in writing. The researcher's responsibility is to check the source and decide what its evidence supports. The platform makes that evidence easier to navigate; it does not remove the need for scholarly judgment.
This makes Anara relevant to graduate students, research teams, analysts reviewing technical literature, and organizations preparing evidence-based reports. It can also support a smaller reading project. A person who simply wants an open-ended conversational assistant may not need its library and extraction features, while someone comparing dozens of studies can benefit from a workspace organized around sources.
The literature search guide describes searching by research question, title, author, or identifier. Users can state dates and study types, combine external searching with their library, and use connected science databases where available. Known sources can be matched using an identifier such as a DOI. Check the returned match, especially when a title is common or a paper exists in multiple versions.
Search results may include metadata and an abstract without the complete paper. Anara's documentation explicitly advises checking what it read in full. That matters when a question concerns a measurement method, a subgroup, or a limitation not described in the abstract. A result can be useful for finding a source while still being insufficient for a detailed conclusion about its findings.
For an exploratory search, ask for primary studies and reviews to be identified separately. For a structured review, record the question, databases, dates, and inclusion criteria outside the conversational answer. These are practical research habits rather than a promise that one search will retrieve every relevant study. Broader search modes do not make an incomplete source set exhaustive.
The file import guide covers local files and folders, links and paper identifiers, web pages, YouTube URLs, connected services, and selected academic results. Anara extracts text and metadata and indexes readable content. Its processing status distinguishes available text, abstract-only material, and content that could not be obtained. That status is an important part of deciding what a file can support.
Correct bibliographic metadata before using a source in a final reference list. An incorrect year or author can carry through to a well-formatted citation. If the paper is locked or unavailable, upload an authorized full-text copy when permitted. For scanned documents, the documentation describes an OCR fallback with plan restrictions. Even when text is extracted, check numerical values and figures against the original.
Organize the library around the work you are doing. A folder for one research question helps maintain an intentional source boundary and makes extraction tables easier to interpret. Keep an indication of why a source was included, whether full text is available, and which version is being used. A persistent library saves repeated searching only when its contents remain understandable and current.
Anara supports questions over a file, folder, or broader library and links answers to supporting passages. The citation guide explains how a library citation can open a relevant passage and how an external citation links to the source. Users should inspect whether the cited text supports the answer's exact wording, including surrounding qualifications.
A useful request names the source boundary and the question. For example, ask how the included papers measured a specific outcome and request separate statements for each paper before synthesis. This is easier to verify than a broad instruction to explain everything about a field. Ask the assistant to distinguish what a source reports from an inference it draws across sources.
Citations improve inspectability, but a citation beside a sentence does not establish correctness. A passage may mention the same topic without supporting the claimed relationship. An abstract may lack the methods needed to evaluate it. Open important references and read the context. That approach follows Anara's own documentation and avoids treating source-linked AI text as an independently completed research review.
Views turn a folder into a table with a file per row and an extraction question per column. Cells can link to the evidence used for their answers. The documented column types include text, numbers, dates, yes-or-no values, and single selections. A whole-folder view follows the folder's contents, while selected files can form a narrower extraction.
This feature is useful when the same information must be collected from every paper: sample size, design, population, outcome definition, follow-up, and limitations. Define separate columns for separate concepts. A vague column asking whether a study is good is difficult to inspect; a column asking for the reported follow-up period has a specific answer and a source passage to check.
The guide documents statuses for missing answers and failed extraction and notes that changing instructions can leave values stale until rerun. It also gives a per-run cell limit and excludes images from Views. Plan a table in sensible batches if needed. Before calculating or comparing extracted values, check units, time points, and whether the field was truly reported rather than inferred.
Imagine a researcher examining how a particular educational intervention affects retention. Begin by specifying the population, intervention, comparison, outcomes, and date range. Search for candidate sources, then save them in a project folder. Check each source's full-text status and metadata. Record inclusion and exclusion criteria before asking the assistant to screen the material.
Create a View with columns for study design, participant count, intervention duration, retention measure, follow-up, and reported limitations. Add a proposed screening decision and an evidence column, but retain the researcher's final decision. Use an unclear category when the available text cannot answer a criterion. For an important numerical result, open the cited passage and verify it in the original table or figure.
After checking the extraction, ask for a synthesis scoped to the included folder. Request that conflicting results and methodological differences remain visible. Draft a note with citations, review each central claim, and export the checked work. This is an example workflow built from Anara's documented search, library, Views, chat, and writing functions. It should not be mistaken for a claim that Anara independently performs a complete systematic review.
The structured review guide describes using a project library and Views for consistent screening and extraction. It recommends explicit criteria, evidence review, and human decisions. The documentation says that Views alone do not establish an exhaustive search or compliance with a reporting standard. This is a useful boundary for research teams deciding which work to delegate to AI.
Anara also documents checking a draft against sources. A user supplies the relevant text, identifies the allowed evidence, and asks for support or contradictions for individual claims. The result is a review to inspect, rather than a guarantee. When a claim is not found, the appropriate interpretation is that the available search did not establish support, not that the claim must be false.
Use that process to improve a draft's precision. A sentence may overgeneralize from one population or omit a condition in the study. Revise the wording to match what the sources actually establish, then review the revised statement. Keep evidence gaps visible instead of filling them with plausible background knowledge. That produces a more useful research document than a confident synthesis that obscures uncertainty.
The notes guide describes writing and formatting within project folders, using the agent alongside a draft, and finding citations for selected claims. Notes support familiar structures such as headings, lists, tables, links, and mathematical notation. The purpose is to keep writing beside the sources it relies on rather than repeatedly moving between an unrelated chat and document editor.
The citation preference applies across chats, notes, and exports. Check source metadata and select the required style before preparing a final document. A correctly styled reference is still the wrong reference if it does not support the claim. Preview a candidate citation before inserting it, and keep the passage-level evidence available for important statements.
The export documentation covers taking work out of the workspace. Current product material describes document and reference outputs, including Word, LaTeX, and bibliographic formats. Verify the relevant export path for the artifact being prepared. After export, inspect references, tables, equations, and any formatting that matters for the destination; a research workflow is not complete simply because an export button succeeded.
Anara documents connectors for reference managers, including Zotero. The Zotero guide describes authorizing the connection and selecting material to import. It warns that local-only attachments may not be available through the online service and that imported material is a copy. Changes in Zotero do not automatically update those copies, so users should reimport or upload changed content as needed.
That distinction affects library maintenance. A researcher might correct metadata in a reference manager or replace an early paper version. Check that the version used in Anara reflects the desired source before continuing analysis. A connected account is not proof that every item or attachment was imported successfully. Review the resulting records and full-text status.
The collaboration guide describes sharing folders and working with others. For a team project, decide which folder is authoritative, who makes final inclusion decisions, and how draft findings are reviewed. Check the current plan's workspace and collaborator terms. Shared AI access helps people work from the same material, but research responsibilities still need clear ownership.
The model guide distinguishes automatic model selection from manual choice on eligible plans. It also describes Deep Search for more extensive research and Model Council for asking multiple models and synthesizing their responses. Those capabilities have plan restrictions and use additional AI work. Consult the current picker and plan rather than assuming a particular model is available to every workspace.
Use a deeper mode when the question needs several linked investigations, not merely because it sounds more capable. First define the source boundary and the evidence needed. Agreement between multiple models is not independent confirmation that a source supports a claim, and broader searching does not replace a review protocol. Inspect the references behind the answer.
The official pricing page offers limited Free access and paid Plus, Pro, Max, and Enterprise arrangements. Billing is per seat on paid plans, with usage allowances and options to add credits. Features such as larger uploads, OCR, connectors, model choice, and deeper modes vary by plan. Check checkout totals and billing documentation for the selected workspace and billing frequency.
Anara's output depends on what is available to read. Abstract-only records, incomplete metadata, inaccessible attachments, scanned pages, and figure interpretation create different limitations. A library containing many files can still be missing the specific source needed for a question. Ask what was read and verify the evidence before treating a synthesis as complete.
Extraction creates another layer to check. Two papers can use the same outcome name but different definitions, units, or follow-up periods. A neat table does not resolve those differences. Record them explicitly and keep an unreported value separate from zero or an inferred estimate. Use a spreadsheet or analysis environment for calculations only after the extracted data has been validated.
The vendor publishes accuracy comparisons; use them alongside an evaluation with your own document collection and questions. Evaluate Anara using a small project with answers you can verify, including a paper with missing full text and a question that the evidence cannot answer. The quality of the failure explanation is as important as the quality of a successful summary.
Yes. Current documentation describes external literature search alongside a library and eligible connected databases. Check which sources were actually used and whether full text was available.
No. Anara's citation guide explicitly recommends inspecting the supporting passage and its qualifications. The source may be related without establishing the precise statement.
Yes. Views provide a file-per-row table with question-based columns and source evidence. Review extraction statuses, rerun changed instructions, and validate important values before analysis.
The Zotero guide describes imported copies and says source changes do not automatically update them. Check the selected connector's behavior and keep the project's source versions current.